National Library of Energy BETA

Sample records for job performance model

  1. Simulating performance sensitivity of supercomputer job parameters.

    SciTech Connect (OSTI)

    Clearwater, Scott Harvey; Kleban, Stephen David

    2003-03-01

    We report on the use of a supercomputer simulation to study the performance sensitivity to systematic changes in the job parameters of run time, number of CPUs, and interarrival time. We also examine the effect of changes in share allocation and service ratio for job prioritization under a Fair Share queuing Algorithm to see the effect on facility figures of merit. We used log data from the ASCI supercomputer Blue Mountain and the ASCI simulator BIRMinator to perform this study. The key finding is that the performance of the supercomputer is quite sensitive to all the job parameters with the interarrival rate of the jobs being most sensitive at the highest rates and increasing run times the least sensitive job parameter with respect to utilization and rapid turnaround. We also find that this facility is running near its maximum practical utilization. Finally, we show the importance of the use of simulation in understanding the performance sensitivity of a supercomputer.

  2. WINDExchange: Jobs and Economic Development Impact Models

    Wind Powering America (EERE)

    Deployment Activities Printable Version Bookmark and Share Regional Resource Centers Economic Development Jobs and Economic Development Impacts Model Resources & Tools Siting Jobs and Economic Development Impact Models JEDI: Jobs and Economic Development Impacts Model Fact Sheet PDF The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the economic impacts of constructing and operating power generation at the local and state levels. Based on

  3. DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model Download the presentation slides from the Fuel Cell Technologies Program webinar, "DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model," held on December 11, 2012. DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model Webinar Slides (1.01 MB) More Documents & Publications JOBS FC 1.0

  4. NREL: Jobs and Economic Development Impacts (JEDI) Models - About...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Biofuels Models The Jobs and Economic Development Impacts (JEDI) biofuel models include ... Download the JEDI Biofuels Models Printable Version JEDI Home About JEDI Biofuels Models ...

  5. JOBS Models: JOBS FC (Fuel Cells) and JOBS H2 (Hydrogen)

    Broader source: Energy.gov (indexed) [DOE]

    types and sizes of the relevant technology (PEM, PAFC or MCFC fuel cells in JOBS FC or hydrogen fueling stations in JOBS H2) are produced inside or outside a region of interest. ...

  6. Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Jobs Jobs Explore the multiple dimensions of a career at Los Alamos Lab: work with the best minds on the planet in an inclusive environment that is rich in intellectual vitality and opportunities for growth. RECENT JOB POSTINGS Criticality Safety Officer (Criticality Safety Officer 2) Job Number: IRC52234 Organization: NCO-DO/Nuclear Component Operations Div Office Posted: Thu, 01 Sep 2016 Environmental Professional 2 Job Number: IRC52216 Organization: ER-ES/ Environmental Services Posted: Thu,

  7. Jobs and Economic Development Modeling | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Jobs and Economic Development Modeling Jobs and Economic Development Modeling Project objective: Develop models to estimate jobs and economic impacts from geothermal project development and operation. analysis_young_economic_development_modeling.pdf (131.43 KB) More Documents & Publications Economic Impact Analysis for EGS Geothermal Policymakers Guidebook, State-by-state Developers' Checklist, & Geothermal Developers' Financing Handbook TAP Webcast Transcript July-29, 2009

  8. Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    (NNSA) Job Seekers with Disabilities NNSA encourages persons with disabilities to apply for job openings at our agency. If you have a disability, you may apply for a position through the normal competitive Federal hiring process or you may be eligible to be hired under a special hiring authority. Information regarding your options can be obtained at the USAJOBS website on Individuals with Disabilities offsite link . When applying for a job at NNSA, you are encouraged to call the

  9. NREL: Jobs and Economic Development Impacts (JEDI) Models - About JEDI

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Marine & Hydrokinetic Power Model Analysis JEDI Jobs and Economic Development Impact Models Printable Version About JEDI Marine & Hydrokinetic Power Model The Jobs and Economic Development Impacts (JEDI) Marine and Hydrokinetic (MHK) model allows users to estimate economic development impacts from MHK power generation projects. The basic user interface for the MHK model is the same as for all other JEDI models. Results are provided in the same format as other JEDI models allowing for

  10. NREL: Energy Analysis - Jobs and Economic Development Impact (JEDI) Models

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Analysis Printable Version JEDI Fact Sheet The cover of JEDI: Jobs and Economic Development Impacts Model factsheet. PDF 563 KB The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the economic impacts of constructing and operating power generation and biofuel plants at the local and state levels. First developed by NREL's WINDExchange program to model wind energy impacts, JEDI has been expanded to analyze biofuels, coal, concentrating solar power,

  11. New Model Demonstrates Offshore Wind Industry's Job Growth Potential...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    and number of jobs associated with fixed-bottom offshore wind development, applies to ... The fixed-bottom offshore wind JEDI is one of several user-friendly NREL models that ...

  12. Job and Economic Development Impact Models (JEDI) | Open Energy...

    Open Energy Info (EERE)

    and biofuel plants at the local and state levels. It comes as a separate model for wind, PV, natural gas, CSP, coal, and biofuels. Job's, earnings, and impact are outputs. Inputs...

  13. JEDI: Jobs and Economic Development Impacts Model Fact Sheet

    SciTech Connect (OSTI)

    S. Hendrickson; S.Tegen

    2009-12-01

    The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the economic impacts of constructing and operating power generation and biofuel plants at the local(usually state) level. First developed by NREL's Wind Powering America program to model wind energy jobs and impacts, JEDI has been expanded to biofuels,concentrating solar power, coal, and natural gas power plants.

  14. The effect of job performance aids on quality assurance

    SciTech Connect (OSTI)

    Fosshage, Erik

    2014-06-01

    Job performance aids (JPAs) have been studied for many decades in a variety of disciplines and for many different types of tasks, yet this is the first known research experiment using JPAs in a quality assurance (QA) context. The objective of this thesis was to assess whether a JPA has an effect on the performance of a QA observer performing the concurrent dual verification technique for a basic assembly task. The JPA used in this study was a simple checklist, and the design borrows heavily from prior research on task analysis and other human factors principles. The assembly task and QA construct of concurrent dual verification are consistent with those of a high consequence manufacturing environment. Results showed that the JPA had only a limited effect on QA performance in the context of this experiment. However, there were three important and unexpected findings that may draw interest from a variety of practitioners. First, a novel testing methodology sensitive enough to measure the effects of a JPA on performance was created. Second, the discovery that there are different probabilities of detection for different types of error in a QA context may be the most far-reaching results. Third, these results highlight the limitations of concurrent dual verification as a control against defects. It is hoped that both the methodology and results of this study are an effective baseline from which to launch future research activities.

  15. NREL: Jobs and Economic Development Impacts (JEDI) Models - About JEDI

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Photovoltaics Model Photovoltaics Model The Jobs and Economic Development Impacts (JEDI) Photovoltaics (PV) model allows users to estimate economic development impacts from PV projects. JEDI PV has default information that can be utilized to run a generic impacts analysis assuming industry averages. Model users are encouraged to enter as much project-specific data as possible. The PV JEDI model is designed for use on a PC and has very limited functionality on a Mac. However, this model is

  16. Running jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Euclid is a single node system with 48 processors. It supports both multiprocessing (MPI) and multithreading programming models. Interactive Jobs All Euclid jobs are...

  17. NREL: Jobs and Economic Development Impacts (JEDI) Models - About JEDI

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Conventional Hydro Model Conventional Hydro Model The Jobs and Economic Development Impact (JEDI) Conventional Hydro model was developed to demonstrate the economic benefits associated with conventional hydro power plants in the United States. The primary goal in developing the state level model was to provide a tool for developers, renewable energy advocates, government officials, decision makers and other potential users, to easily identify the local economic impacts associated with

  18. NREL: Jobs and Economic Development Impacts (JEDI) Models - About JEDI

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Transmission Line Model Transmission Line Model The Transmission Line Jobs and Economic Development Impacts (JEDI) model allows the user to estimate economic development impacts associated with transmission line projects. Applying a similar user interface as other JEDI models, Transmission Line JEDI requires a few additional user inputs such as: Transmission Line Type Line Length Terrain Type Right-of-Way Characteristics. Results are presented in the same manner as those in other JEDI

  19. Smart Grid Cybersecurity: Job Performance Model Report

    SciTech Connect (OSTI)

    O'Neil, Lori Ross; Assante, Michael; Tobey, David

    2012-08-01

    This is the project report to DOE OE-30 for the completion of Phase 1 of a 3 phase report. This report outlines the work done to develop a smart grid cybersecurity certification. This work is being done with the subcontractor NBISE.

  20. Community Power Works: Good Jobs, Green Jobs Conference | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Works: Good Jobs, Green Jobs Conference Community Power Works: Good Jobs, Green Jobs ... to Extend Program Reach Contractor Quality Assurance and Home Performance with Energy Star

  1. Running jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Running jobs Running jobs Overview and Basic Description Euclid is a single node system with 48 processors. It supports both multiprocessing (MPI) and multithreading programming models. Interactive Jobs All Euclid jobs are interactive. To launch an MPI job, type in this at the shell prompt: % mpirun -np numprocs executable_name where numprocs is the total number of MPI processes that will be executed. Interactive Usage Policy Due to the dynamic and unpredictable nature of visualization and data

  2. JEDI: Jobs and Economic Development Impact Model (Fact Sheet), NREL (National Renewable Energy Laboratory)

    Wind Powering America (EERE)

    JEDI: Jobs and Economic Development Impact Model The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the gross economic impacts of constructing and operating power generation, transmission, and biofuel plants at the state or national level. First developed by NREL's researchers to model wind energy jobs and impacts, JEDI has been expanded to also estimate the economic impacts of biofuels and biopower, coal, conventional hydro, concentrating solar power,

  3. JEDI: Jobs and Economic Development Impact Model (Fact Sheet), NREL (National Renewable Energy Laboratory)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    JEDI: Jobs and Economic Development Impact Model The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the gross economic impacts of constructing and operating power generation, transmission, and biofuel plants at the state or national level. First developed by NREL's researchers to model wind energy jobs and impacts, JEDI has been expanded to also estimate the economic impacts of biofuels and biopower, coal, conventional hydro, concentrating solar power,

  4. PV Reliability & Performance Model

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Reliability & Performance Model - Sandia Energy Energy Search Icon Sandia Home Locations ... Twitter Google + Vimeo GovDelivery SlideShare PV Reliability & Performance Model Home...

  5. Interactive Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Interactive Jobs Interactive Jobs Serial Code or Commands Franklin is a massively parallel high-performance computing platform and is intended and designed to run large parallel codes. While it is possible to run serial jobs on Franklin, it is discouraged. Any code or command that is not preceeded by the aprun command will execute serially on a service (usually login) node. The login nodes are for executing general UNIX shell commands, building code, and submitting jobs intended to run on the

  6. Jobs and Economic Development Impacts from Small Wind: JEDI Model in the Works (Presentation)

    SciTech Connect (OSTI)

    Tegen, S.

    2012-06-01

    This presentation covers the National Renewable Energy Laboratory's role in economic impact analysis for wind power Jobs and Economic Development Impacts (JEDI) models, JEDI results, small wind JEDI specifics, and a request for information to complete the model.

  7. New Model Demonstrates Offshore Wind Industry’s Job Growth Potential

    Broader source: Energy.gov [DOE]

    A new modeling tool developed by DOE’s National Renewable Energy Laboratory estimates that offshore wind development in areas like the Gulf Coast, could support 14,500 full-time jobs during construction and up to 650 long-term jobs.

  8. Job and Economic Development Impact (JEDI) Model: A User-Friendly Tool to Calculate Economic Impacts from Wind Projects

    SciTech Connect (OSTI)

    None

    2009-02-26

    Brochure on the Jobs and Economic Development Impact (JEDI) Model for calculating the economic impacts of wind development.

  9. IR DIAL performance modeling

    SciTech Connect (OSTI)

    Sharlemann, E.T.

    1994-07-01

    We are developing a DIAL performance model for CALIOPE at LLNL. The intent of the model is to provide quick and interactive parameter sensitivity calculations with immediate graphical output. A brief overview of the features of the performance model is given, along with an example of performance calculations for a non-CALIOPE application.

  10. Running Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Queues and Policies Monitoring Jobs Using OpenMP with MPI Memory Considerations Runtime Tuning Options Running Large Scale Jobs Trouble Shooting and Error Messages Completed Jobs How Usage Is Charged File Storage and I/O Software and Tools Debugging and profiling Performance and Optimization Cray XE Documentation Cluster Compatibility Mode Hopper, Cray XE6 Carver Jesup Dirac Edison Phase I Euclid - Retired 01/31/2013 Franklin - Retired 04/30/12 Bassi Storage & File Systems Application

  11. JEDI: Jobs and Economic Development Impacts Model, National Renewable Energy Laboratory (NREL) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-12-01

    The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the economic impacts of constructing and operating power generation and biofuel plants at the local (usually state) level. First developed by NREL's Wind Powering America program to model wind energy jobs and impacts, JEDI has been expanded to biofuels, concentrating solar power, coal, and natural gas power plants. Based on project-specific and default inputs (derived from industry norms), JEDI estimates the number of jobs and economic impacts to a local area (usually a state) that could reasonably be supported by a power generation project. For example, JEDI estimates the number of in-state construction jobs from a new wind farm. This fact sheet provides an overview of the JEDI model as it pertains to wind energy projects.

  12. Assessment of the Value, Impact, and Validity of the Jobs and Economic Development Impacts (JEDI) Suite of Models

    SciTech Connect (OSTI)

    Billman, L.; Keyser, D.

    2013-08-01

    The Jobs and Economic Development Impacts (JEDI) models, developed by the National Renewable Energy Laboratory (NREL) for the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE), use input-output methodology to estimate gross (not net) jobs and economic impacts of building and operating selected types of renewable electricity generation and fuel plants. This analysis provides the DOE with an assessment of the value, impact, and validity of the JEDI suite of models. While the models produce estimates of jobs, earnings, and economic output, this analysis focuses only on jobs estimates. This validation report includes an introduction to JEDI models, an analysis of the value and impact of the JEDI models, and an analysis of the validity of job estimates generated by JEDI model through comparison to other modeled estimates and comparison to empirical, observed jobs data as reported or estimated for a commercial project, a state, or a region.

  13. NREL: Jobs and Economic Development Impacts (JEDI) Models - About...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Marine & Hydrokinetic Power Model Natural Gas Model Photovoltaics Model Transmission Line Model Wind Model Download ... Office of Energy Efficiency and Renewable Energy, ...

  14. Petroleum Refinery Jobs and Economic Development Impact (JEDI) Model User Reference Guide

    SciTech Connect (OSTI)

    Goldberg, M.

    2013-12-31

    The Jobs and Economic Development Impact (JEDI) models, developed through the National Renewable Energy Laboratory (NREL), are user-friendly tools utilized to estimate the economic impacts at the local level of constructing and operating fuel and power generation projects for a range of conventional and renewable energy technologies. The JEDI Petroleum Refinery Model User Reference Guide was developed to assist users in employing and understanding the model. This guide provides information on the model's underlying methodology, as well as the parameters and references used to develop the cost data utilized in the model. This guide also provides basic instruction on model add-in features, operation of the model, and a discussion of how the results should be interpreted. Based on project-specific inputs from the user, the model estimates job creation, earning and output (total economic activity) for a given petroleum refinery. This includes the direct, indirect and induced economic impacts to the local economy associated with the refinery's construction and operation phases. Project cost and job data used in the model are derived from the most current cost estimations available. Local direct and indirect economic impacts are estimated using economic multipliers derived from IMPLAN software. By determining the regional economic impacts and job creation for a proposed refinery, the JEDI Petroleum Refinery model can be used to field questions about the added value refineries may bring to the local community.

  15. NREL: Jobs and Economic Development Impacts (JEDI) Models - About...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    development impacts from wind power generation projects. ... engineering, land easements, and permitting costs ... Model Transmission Line Model Wind Model Download ...

  16. NREL: Jobs and Economic Development Impact (JEDI) Models - About...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... materials, and locally manufactured powerplant components can have a significant ... Natural Gas Model Photovoltaics Model Transmission Line Model Wind Model Download JEDI ...

  17. NREL: Jobs and Economic Development Impacts (JEDI) Models - About...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    gas supplied the power plant is procured from wells located in the region being analyzed? ... Natural Gas Model Photovoltaics Model Transmission Line Model Wind Model Download JEDI ...

  18. NREL: Jobs and Economic Development Impacts (JEDI) Models - About JEDI Coal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Model Coal Model The Jobs and Economic Development Impacts (JEDI) Coal model allows the user to estimate economic development impacts from coal power generation projects. Applying a similar user interface as the JEDI Wind model, JEDI Coal requires a few additional user inputs. JEDI Coal user inputs include: Capacity Factor Heat Rate Fuel Costs Fuel Produced Locally (Percent)* Results are presented in the same manner as those in the JEDI Wind and Natural Gas models. This allows

  19. JEDI: Jobs and Economic Development Impact Model; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    2015-08-01

    The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the economic impacts of constructing and operating power generation and biofuel plants at the local (usually state) level. First developed by NREL’s researchers to model wind energy jobs and impacts, JEDI has been expanded to also estimate the economic impacts of biofuels, coal, conventional hydro, concentrating solar power, geothermal, marine and hydrokinetic power, natural gas, photovoltaics, and transmission lines. This fact sheet focuses on JEDI for wind energy projects.

  20. Monitoring Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Monitoring Jobs Monitoring Jobs Overview Please see the man pages of the commands below for more options. The Job Information page has more information on current queue status, completed jobs, and job summary statistics. Command Description qsub batch_script Submit batch script to queue; returns job_id. qdel job_id Delete job from queue. qhold job_id Place job on hold in queue. qrls job_id Release held job. qalter Change attributes of submitted job. qmove new_queue job_id Move job to a different

  1. NREL: Jobs and Economic Development Impact (JEDI) Models - Downloading...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    C10.13.14. (Excel 341 KB) JEDI Hydroelectric Power Models ... P11.04.14. (Excel 4.3 MB) JEDI Transmission Line Model JEDI ... Office of Energy Efficiency and Renewable Energy, ...

  2. NREL: Jobs and Economic Development Impact (JEDI) Models - Limitations...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Input-output models, including JEDI, apply historical ... pre-date the development of many renewable energy technologies. ... which account for pricing variability and labor ...

  3. Jobs and Economic Development Impact (JEDI) Model: Offshore Wind User Reference Guide

    SciTech Connect (OSTI)

    Lantz, E.; Goldberg, M.; Keyser, D.

    2013-06-01

    The Offshore Wind Jobs and Economic Development Impact (JEDI) model, developed by NREL and MRG & Associates, is a spreadsheet based input-output tool. JEDI is meant to be a user friendly and transparent tool to estimate potential economic impacts supported by the development and operation of offshore wind projects. This guide describes how to use the model as well as technical information such as methodology, limitations, and data sources.

  4. Smart Grid Cybersecurity: Job Performance Model Report and Phase...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    KB) More Documents & Publications Developing Secure Power Systems Professional Competence: Alignment and Gaps in Workforce Development Programs - Phase 2 (JulyAugust 2013) ...

  5. Smart Grid Cybersecurity: Job Performance Model Report LR ...

    Energy Savers [EERE]

    ... Teachers Conference, Pepperdine, CA. ... technology. 9720 Decide what mitigations should be implemented on remote ... of any target systems with System Owners ...

  6. Monitoring Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Monitoring Jobs Monitoring Jobs Overview Please see the man pages of the commands below for more options. The Job Information page has more information on current queue status,...

  7. Running Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Also pointers to more NERSC documentations on SLURM. Read More Interactive Jobs Learn how to run interactive jobs on Cori. Read More Batch Jobs SLURM keywords and...

  8. NREL: Jobs and Economic Development Impact (JEDI) Models - Webmaster

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Webmaster Please enter your name and email address in the boxes provided, then type your message below. When you are finished, click "Send Message." NOTE: If you enter your e-mail address incorrectly, we will be unable to reply. Your name: Your email address: Your message: Send Message Printable Version JEDI Home About JEDI Download JEDI Methodology Interpreting Results Advanced Users Limitations of JEDI Models Publications Contact Did you find what you needed? Yes 1 No 0 Thank you for

  9. Community Power Works: Good Jobs, Green Jobs Conference | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Works: Good Jobs, Green Jobs Conference Community Power Works: Good Jobs, Green Jobs Conference A presentation given by Community Power Works at the Good Jobs, Green Jobs Conference. Community Power Works (589.8 KB) More Documents & Publications Community Power Works Better Buildings Conference Spotlight on Seattle, Washington: Community Partnerships Work to Extend Program Reach Contractor Quality Assurance and Home Performance with Energy Star

  10. Monitoring Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Monitoring Jobs Monitoring Jobs Monitoring Hopper Batch Jobs See the man pages for more options. The Job Information page has more information on current queue status, completed jobs, ALPS logs and job summary statistics. Job Commands Command Description qsub batch_script Submits batch script to the queue. The output of qsub will be a jobid qdel jobid Deletes a job from the queue qhold jobid Puts a job on hold in the queue. To delete a job from the hopper xfer queue users must add an additional

  11. Jobs and Economic Development Impact (JEDI) User Reference Guide: Fast Pyrolysis Biorefinery Model

    SciTech Connect (OSTI)

    Zhang, Y.; Goldberg, M.

    2015-02-01

    This guide -- the JEDI Fast Pyrolysis Biorefinery Model User Reference Guide -- was developed to assist users in operating and understanding the JEDI Fast Pyrolysis Biorefinery Model. The guide provides information on the model's underlying methodology, as well as the parameters and data sources used to develop the cost data utilized in the model. This guide also provides basic instruction on model add-in features and a discussion of how the results should be interpreted. Based on project-specific inputs from the user, the JEDI Fast Pyrolysis Biorefinery Model estimates local (e.g., county- or state-level) job creation, earnings, and output from total economic activity for a given fast pyrolysis biorefinery. These estimates include the direct, indirect and induced economic impacts to the local economy associated with the construction and operation phases of biorefinery projects.Local revenue and supply chain impacts as well as induced impacts are estimated using economic multipliers derived from the IMPLAN software program. By determining the local economic impacts and job creation for a proposed biorefinery, the JEDI Fast Pyrolysis Biorefinery Model can be used to field questions about the added value biorefineries might bring to a local community.

  12. Jobs and Economic Development Impact (JEDI) Model Geothermal User Reference Guide

    SciTech Connect (OSTI)

    Johnson, C.; Augustine, C.; Goldberg, M.

    2012-09-01

    The Geothermal Jobs and Economic Development Impact (JEDI) model, developed through the National Renewable Energy Laboratory (NREL), is an Excel-based user-friendly tools that estimates the economic impacts of constructing and operating hydrothermal and Enhanced Geothermal System (EGS) power generation projects at the local level for a range of conventional and renewable energy technologies. The JEDI Model Geothermal User Reference Guide was developed to assist users in using and understanding the model. This guide provides information on the model's underlying methodology, as well as the parameters and references used to develop the cost data utilized in the model. This guide also provides basic instruction on model add-in features, operation of the model, and a discussion of how the results should be interpreted.

  13. Job and Output Benefits of Stationary Fuel Cells (JOBS FC): An...

    Energy Savers [EERE]

    More Documents & Publications DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model JOBS FC 1.0 (JOBS and Economic Impacts of Fuel Cells) Careers in Fuel Cell ...

  14. Transmission Line Jobs and Economic Development Impact (JEDI) Model User Reference Guide

    SciTech Connect (OSTI)

    Goldberg, M.; Keyser, D.

    2013-10-01

    The Jobs and Economic Development Impact (JEDI) models, developed through the National Renewable Energy Laboratory (NREL), are freely available, user-friendly tools that estimate the potential economic impacts of constructing and operating power generation projects for a range of conventional and renewable energy technologies. The Transmission Line JEDI model can be used to field questions about the economic impacts of transmission lines in a given state, region, or local community. This Transmission Line JEDI User Reference Guide was developed to provide basic instruction on operating the model and understanding the results. This guide also provides information on the model's underlying methodology, as well as the parameters and references used to develop the cost data contained in the model.

  15. Sandia PV Array Performance Model

    Broader source: Energy.gov [DOE]

    The photovoltaic array performance model was developed at Sandia National Laboratories over the last twelve years. Electrical, thermal, and optical characteristics for photovoltaic modules are included in the model, and the model is designed to use hourly solar resource and meteorological data. The versatility and accuracy of the model has been validated for flat-plate modules (all technologies) and for concentrator modules, as well as for large arrays of modules. Applications include system design and sizing, ‘translation’ of field performance measurements to standard reporting conditions, system performance optimization, and real-time comparison of measured versus expected system performance.

  16. FAQS Job Task Analyses - Fire Protection Engineering | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Fire Protection Engineering FAQS Job Task Analyses - Fire Protection Engineering FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job ...

  17. Modifications improve waterflood performance model

    SciTech Connect (OSTI)

    El-Banbi, A.H.; Abdel Wally, A.; Abd-el Fattah, K.A.; Sayyouh, M.H.

    1996-01-01

    Modifications to the Craig-Geffen-Morse (CGM) waterflooding model improve reservoir performance predictions and allow for the inclusion of pressure drop variations with time. The modified model was validated against numerical simulation results. The paper describes the CGM model, the hypothetical data set, the simulation technique, comparisons between the CGM model and the simulation, and modifications to the CGM model relating to pressure drop variation and water production.

  18. Job Opportunities

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Job Opportunities CAMD Associate Director - Senior Accelerator Physicist and Group Director

  19. Running Large Scale Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Running Large Scale Jobs Running Large Scale Jobs Users face various challenges with running and scaling large scale jobs on peta-scale production systems. For example, certain applications may not have enough memory per core, the default environment variables may need to be adjusted, or I/O dominates run time. This page lists some available programming and run time tuning options and tips users can try on their large scale applications on Hopper for better performance. Try different compilers

  20. US ITER | Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Postings Careers in Fusion Science ITER Jobs Home > Jobs > International Job Postings International ITER Postions International

  1. JOBS FC 1.0 (JOBS and Economic Impacts of Fuel Cells) | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy JOBS FC 1.0 (JOBS and Economic Impacts of Fuel Cells) JOBS FC 1.0 (JOBS and Economic Impacts of Fuel Cells) Download presentation slides from the May 22, 2012, Fuel Cell Technologies Program webinar, "DOE Launches JOBS and Economic Impacts of Fuel Cells (JOBS FC) Analysis Model." DOE Launches JOBS and Economic Impacts of Fuel Cells (JOBS FC) Analysis Model Webinar Slides (731.26 KB) More Documents & Publications DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS

  2. Running Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Jobs Running Jobs Submitting Jobs How to submit your job to the UGE. Read More » Running with Java Solutions to some of the common problems users have with running on Genepool when the JVM is part of their workflow. Read More » Batch Script Examples Sample batch scripts for Genepool/Phoebe highlighting queue selection, setting the run time and requesting large amounts of memory. Read More » Interactive Jobs How to run your workflow on the interactive nodes. Read More » Job Arrays on Genepool

  3. Running jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    jobs may be run on Edison by requesting resources from the batch system. "salloc -p debug -N " is the basic command to request interactive resources. Read More Batch Jobs...

  4. Running jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Job Launch Overview Parallel applications can not run on the login nodes. They must be ... Interactive jobs may be run on Franklin by requesting resources from the batch system. ...

  5. Batch Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Batch Jobs Batch Jobs Overview Batch jobs are jobs that run non-interactively under the control of a "batch script," which is a text file containing a number of job directives and LINUX commands or utilities. Batch scripts are submitted to the "batch system," where they are queued awaiting free resources on Hopper. The batch system on Hopper is known as "Torque." Bare-Bones Batch Script The simplest Hopper batch script will look something like this. #PBS -q regular

  6. Interactive Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Interactive Jobs Interactive Jobs Overview There are two types of interactive jobs. The first type runs on a login node. These applications are typically pre- and post-processing jobs, data management programs, or some other type of "tool". Note that it is not possible to run any MPI application on Carver login nodes. The second type of interactive job runs on one or more Carver compute nodes. Because the only way to gain access to the compute nodes is through the batch system, these

  7. Interactive Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Interactive Jobs Interactive Jobs To run an interactive job on Hopper's compute nodes you must request the number of nodes you want and have the system allocate resources from the pool of free nodes. The following command requests 2 nodes using the interactive queue. hopper% qsub -I -q debug -l mppwidth=48 The -I flag specifies an interactive job. The -q flag specifies the name of the queue and -l mppwidth determines the number of nodes to allocate for your job, but not as you might expect. The

  8. New Model Demonstrates Offshore Wind Industry’s Job Growth Potential

    Broader source: Energy.gov [DOE]

    The Energy Department’s National Renewable Energy Laboratory (NREL) has developed a tool to estimate jobs and other economic impacts associated with offshore wind development in the United States.

  9. PV Reliability & Performance Model

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Reliability & Performance Model - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs

  10. Interactive Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Interactive Jobs Interactive Jobs Interactive Jobs The login nodes (genepool13 and genepool14) on Genepool should not be used for heavy interactive work. These login nodes are shared amongst all Genepool users, so heavy CPU or memory usage will affect other Genepool users. Instead, you should run intensive interactive sessions via the scheduler with the "qlogin" command, or on a group-dedicated gpint server. Scheduled Interactive Sessions PLEASE NOTE: As of May 2016, qlogin sessions

  11. Assessment of the Value, Impact, and Validity of the Jobs and Economic Development Impacts (JEDI) Suite of Models

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Assessment of the Value, Impact, and Validity of the Jobs and Economic Development Impacts (JEDI) Suite of Models L. Billman and D. Keyser National Renewable Energy Laboratory Technical Report NREL/TP-6A20-56390 August 2013 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC. This report is available at no cost from the National Renewable Energy Laboratory (NREL) at

  12. Job Safety

    Office of Environmental Management (EM)

    Job Safety and Health It's the law EMPLOYEES: Must have access to: DOE safety and health publications; The worker safety and health program for their location; This ...

  13. FAQS Job Task Analyses- Safeguards and Security

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  14. FAQS Job Task Analyses- Emergency Management

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  15. FAQS Job Task Analyses- Technical Training

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  16. FAQS Job Task Analyses- DOE Aviation Manager

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  17. FAQS Job Task Analyses- Radiation Protection

    Office of Energy Efficiency and Renewable Energy (EERE)

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  18. FAQS Job Task Analyses- Environmental Restoration

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  19. FAQS Job Task Analyses- Nuclear Safety Specialist

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  20. FAQS Job Task Analyses- Facility Representative

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  1. FAQS Job Task Analyses- Technical Program Manager

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  2. FAQS Job Task Analyses- General Technical Base

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  3. FAQS Job Task Analyses- Quality Assurance

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  4. FAQS Job Task Analyses- Weapons Quality Assurance

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  5. FAQS Job Task Analyses- Environmental Compliance

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  6. FAQS Job Task Analyses- Deactivation and Decommissioning

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  7. FAQS Job Task Analyses- Occupational Safety

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  8. FAQS Job Task Analyses- Chemical Processing

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  9. FAQS Job Task Analyses- Construction Management

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  10. FAQS Job Task Analyses- Criticality Safety

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  11. FAQS Job Task Analyses- Industrial Hygiene

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  12. Functional Area Qualification Standard Job Task Analyses

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  13. Interactive Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Interactive Jobs Interactive Jobs Overview To run interactive jobs on Cori, you must request the number of nodes you want and have the system allocate resources from the pool of free nodes. To request an interactive session, the salloc command must be issued. For example, the following command requests 2 nodes in the debug partition for 30 min, and it requests a license to run on the $SCRATCH file system. More details on requesting file system license can be found here. % salloc -N 2 -p debug -t

  14. Interactive Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Interactive Jobs Interactive Jobs To run an interactive job on Edison's compute nodes you must request the number of nodes you want and have the batch system allocate resources from the pool of free nodes. The following command requests two nodes using the debug partition, and it requests a license to run on the $SCRATCH file system. More details on requesting file system license can be found here. edison% salloc -N 2 -p debug -L SCRATCH The -p flag specifies the name of the partition and the -N

  15. Running Grid Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Running Grid Jobs Running Grid Jobs How to submit a grid job to NERSC The following NERSC resources support job submission via Grid interfaces. Remote job submission is based on ...

  16. Submitting Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    memory needed by your application. Use of a program like memtime during your benchmarking ahead of production may be informative. Specify a time limit for your job qsub -l...

  17. EIA: Jobs

    Gasoline and Diesel Fuel Update (EIA)

    Jobs at the Energy Information Administration en-us Tue, 09 Feb 2016 21:23:11 EST EIA logo http:www.eia.govglobalimageslogoseialogo250.png http:www.eia.gov US Energy...

  18. Batch Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    that run non-interactively under the control of a "batch script," which is a text file (shell script) containing a number of job directives and LINUX commands. Batch scripts are...

  19. Interactive Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The following command requests 2 nodes using the interactive queue. hopper% qsub -I -q debug -l mppwidth48 The -I flag specifies an interactive job. The -q flag specifies the...

  20. Running Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    login nodes. The second type of interactive job runs on one or more Carver compute nodes. Because the only way to gain access to the compute nodes is through the batch system, ...

  1. Monitoring Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Takes -u username and -w options. apstat Shows the number of up nodes and idle nodes and a list of current pending and running jobs. apstat -r command displays all the nodes ...

  2. FAQS Job Task Analyses - Safeguards and Security General Technical...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    and Security General Technical Base FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a...

  3. Job and Economic Development Impact (JEDI) Model: A User-Friendly Tool to Calculate Economic Impacts from Wind Projects; Preprint

    SciTech Connect (OSTI)

    Sinclair, K.; Milligan, M.; Goldberg, M.

    2004-03-01

    The U.S. Department of Energy/National Renewable Energy Laboratory (DOE/NREL) has developed a spreadsheet-based wind model (Jobs and Economic Development Impact (JEDI)) that incorporates economic multipliers for jobs, income, and output. Originally developed with state-specific parameters, it can also be used to conduct county and regional analyses. NREL has enlisted the Wind Powering America (WPA) State Wind Working Groups (SWWGs) to conduct county-specific economic impact analyses and has encouraged them to use JEDI if they do not have their own economic model. The objective of the analyses is to identify counties within WPA target states, and preferably counties with a significant agricultural sector, that could economically benefit from wind development. These counties could then explore opportunities to tap into the United States Department of Agriculture (USDA) Farm Bill Section 9006 grants and loans to stimulate wind development. This paper describes the JEDI model and how i t can be used. We will also summarize a series of analyses that were completed to fulfill a General Accounting Office (GAO) request to provide estimates of the economic development benefits of wind power.

  4. Webinar: DOE Updates JOBS and Economic Impacts of Fuel Cells...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Webinar: DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model Above is the video recording for the webinar, "DOE Updates JOBS and Economic Impacts of Fuel Cells ...

  5. Careers, Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Jobs Careers, Jobs Explore the multiple dimensions of a career at Los Alamos Lab: work with the best minds on the planet in an inclusive environment that is rich in intellectual vitality and opportunities for growth. Careers» Diversity and Inclusion» Career Options» Life at the Lab» Employee, Retiree Resources» Career Stories» Career Images» Career Videos» TOP STORIES - highlights of our science, people, technologies close Laura McClellan-Lending a helping hammer From shoring up floors

  6. Performance and Architecture Lab Modeling Tool

    Energy Science and Technology Software Center (OSTI)

    2014-06-19

    Analytical application performance models are critical for diagnosing performance-limiting resources, optimizing systems, and designing machines. Creating models, however, is difficult. Furthermore, models are frequently expressed in forms that are hard to distribute and validate. The Performance and Architecture Lab Modeling tool, or Palm, is a modeling tool designed to make application modeling easier. Palm provides a source code modeling annotation language. Not only does the modeling language divide the modeling task into sub problems, itmore » formally links an application's source code with its model. This link is important because a model's purpose is to capture application behavior. Furthermore, this link makes it possible to define rules for generating models according to source code organization. Palm generates hierarchical models according to well-defined rules. Given an application, a set of annotations, and a representative execution environment, Palm will generate the same model. A generated model is a an executable program whose constituent parts directly correspond to the modeled application. Palm generates models by combining top-down (human-provided) semantic insight with bottom-up static and dynamic analysis. A model's hierarchy is defined by static and dynamic source code structure. Because Palm coordinates models and source code, Palm's models are 'first-class' and reproducible. Palm automates common modeling tasks. For instance, Palm incorporates measurements to focus attention, represent constant behavior, and validate models. Palm's workflow is as follows. The workflow's input is source code annotated with Palm modeling annotations. The most important annotation models an instance of a block of code. Given annotated source code, the Palm Compiler produces executables and the Palm Monitor collects a representative performance profile. The Palm Generator synthesizes a model based on the static and dynamic mapping of annotations to program

  7. Performance and Architecture Lab Modeling Tool

    SciTech Connect (OSTI)

    2014-06-19

    Analytical application performance models are critical for diagnosing performance-limiting resources, optimizing systems, and designing machines. Creating models, however, is difficult. Furthermore, models are frequently expressed in forms that are hard to distribute and validate. The Performance and Architecture Lab Modeling tool, or Palm, is a modeling tool designed to make application modeling easier. Palm provides a source code modeling annotation language. Not only does the modeling language divide the modeling task into sub problems, it formally links an application's source code with its model. This link is important because a model's purpose is to capture application behavior. Furthermore, this link makes it possible to define rules for generating models according to source code organization. Palm generates hierarchical models according to well-defined rules. Given an application, a set of annotations, and a representative execution environment, Palm will generate the same model. A generated model is a an executable program whose constituent parts directly correspond to the modeled application. Palm generates models by combining top-down (human-provided) semantic insight with bottom-up static and dynamic analysis. A model's hierarchy is defined by static and dynamic source code structure. Because Palm coordinates models and source code, Palm's models are 'first-class' and reproducible. Palm automates common modeling tasks. For instance, Palm incorporates measurements to focus attention, represent constant behavior, and validate models. Palm's workflow is as follows. The workflow's input is source code annotated with Palm modeling annotations. The most important annotation models an instance of a block of code. Given annotated source code, the Palm Compiler produces executables and the Palm Monitor collects a representative performance profile. The Palm Generator synthesizes a model based on the static and dynamic mapping of annotations to program behavior

  8. Webinar: DOE Launches JOBS and Economic Impacts of Fuel Cells (JOBS FC)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Analysis Model | Department of Energy Launches JOBS and Economic Impacts of Fuel Cells (JOBS FC) Analysis Model Webinar: DOE Launches JOBS and Economic Impacts of Fuel Cells (JOBS FC) Analysis Model Below is the text version of the webinar titled, "DOE Launches JOBS and Economic Impacts of Fuel Cells (JOBS FC) Analysis Model," originally presented on May 22, 2012. In addition to this text version of the audio, you can access the presentation slides. Allison Aman: All right, thanks

  9. Webinar: DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Model | Department of Energy Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model Webinar: DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model Above is the video recording for the webinar, "DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model," originally held on December 11, 2012. In addition to this recording, you can access the presentation slides. A text version of this recording will be available soon.

  10. Sandia Energy - PV Reliability & Performance Model

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    15-06-01T20:13:00+00:00 This Web Demo model is a simplified "player" version of the Photovoltaic Reliability Performance Model (PV-RPM) currently in development at Sandia National...

  11. Running Jobs Efficiently

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimization Running Jobs Efficiently Running Jobs Efficiently Job Efficiency A job's efficiency is the ratio of its CPU time to the actual time it took to run, i.e., cputime ...

  12. Job Launch Overview

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Job Launch Overview Job Launch Overview Overview and Basic Description Franklin has three basic types of nodes. Compute Nodes The 9,572 compute nodes each have a quad-core 2.3 GHz Opteron processor and 8 GB of memory shared by the 4 cores. The compute nodes run a restricted low-overhead operating system optimized for high performance computing. This OS supports only a limited number of system calls and UNIX commands, and does not officially support user-created dynamic-load libraries. A single

  13. US ITER | Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Postings Careers in Fusion Science ITER Jobs Home > Jobs > US ITER Positions US ITER Positions US

  14. Hopper Job Size Charts

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Job Size Charts Hopper Job Size Charts Fractional Jobs The following charts show the fraction of hours used on Hopper in each of five job-core-size bins: 2014 Usage by Job Size Chart 2013 2012 2011 Large Jobs The following charts show the fraction of hours used on Hopper by jobs using greater than 16,384 cores: 2014 2013 2012 Usage by Job Size Chart 2011 Last edited: 2016-05-02 09:20:42

  15. Cobalt Job Control | Argonne Leadership Computing Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Reservations Cobalt Job Control How to Queue a Job Running Jobs FAQs Queuing and Running on BG/Q Systems Data Transfer Debugging & Profiling Performance Tools & APIs Software & Libraries IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Cobalt Job Control The queuing system used at ALCF is Cobalt. Cobalt has two ways to queue a run: the basic method and

  16. Generic CSP Performance Model for NREL's System Advisor Model: Preprint

    SciTech Connect (OSTI)

    Wagner, M. J.; Zhu, G.

    2011-08-01

    The suite of concentrating solar power (CSP) modeling tools in NREL's System Advisor Model (SAM) includes technology performance models for parabolic troughs, power towers, and dish-Stirling systems. Each model provides the user with unique capabilities that are catered to typical design considerations seen in each technology. Since the scope of the various models is generally limited to common plant configurations, new CSP technologies, component geometries, and subsystem combinations can be difficult to model directly in the existing SAM technology models. To overcome the limitations imposed by representative CSP technology models, NREL has developed a 'Generic Solar System' (GSS) performance model for use in SAM. This paper discusses the formulation and performance considerations included in this model and verifies the model by comparing its results with more detailed models.

  17. Using Job Arrays

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Using Job Arrays Using Job Arrays Job arrays have many advantages, including reduced load on the batch system, faster job submission, and easier job management. If you find yourself submitting thousands of jobs at a time you should use job arrays. However, the UGE documentation is somewhat lacking and arrays do make job submission more complicated. Below is a description of how UGE job arrays work: Job arrays can be submitted from the command line with the -t option to qsub, e.g.,: qsub -t

  18. Job and Output Benefits of Stationary Fuel Cells (JOBS FC): An...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    USDOE Marianne Mintz Argonne National Lab 2 2 What is JOBS FC? JOBS FC is a user friendly model that can be used to show the economic benefits of near- to mid-term fuel cell ...

  19. About Energy Savings Performance Contracting Model Documents

    Broader source: Energy.gov [DOE]

    This page provides more information about the creation of the Energy Savings Performance Contracting (ESPC) Model Documents to be used when developing or updating procurement and contracting documents for ESPC projects and programs.

  20. Job Arrays on Genepool

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Job Arrays Job Arrays on Genepool Job Arrays Job arrays have many advantages, including reduced load on UGE, faster job submission, and easier job management. If you find yourself submitting thousands of jobs at a time that are largely identical, you should use job arrays. For example, if you have many different data sets, but want to run the same program on all of the data sets, you can either use Perl to generate one script for each data set, or you can use a job array with a single script.

  1. FAQS Job Task Analyses- Safeguards and Security General Technical Base

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  2. FAQS Job Task Analyses- Nuclear Explosive Safety Study

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  3. FAQS Job Task Analyses- NNSA Package Certification Engineer

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  4. FAQS Job Task Analyses- Electrical Systems and Safety Oversight

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  5. FAQS Job Task Analyses- Confinement Ventilation and Process Gas Treatment

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  6. FAQS Job Task Analyses- DOE Aviation Safety Officer

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  7. FAQS Job Task Analyses- Senior Technical Safety Manager

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  8. FAQS Job Task Analyses- Civil/Structural Engineering

    Broader source: Energy.gov [DOE]

    FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies.

  9. Automated Job Hazards Analysis

    Broader source: Energy.gov [DOE]

    AJHA Program - The Automated Job Hazard Analysis (AJHA) computer program is part of an enhanced work planning process employed at the Department of Energy's Hanford worksite. The AJHA system is routinely used to performed evaluations for medium and high risk work, and in the development of corrective maintenance work packages at the site. The tool is designed to ensure that workers are fully involved in identifying the hazards, requirements, and controls associated with tasks.

  10. Monitoring jobs with qs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... job resource requests, etc USER Username of job owner PROJECT The assigned ... wildcards, e.g. -u d* will show jobs from where owner username start with the letter 'd'. ...

  11. Model Energy Savings Performance Contract, Schedules, and Exhibits...

    Energy Savers [EERE]

    Model Energy Savings Performance Contract, Schedules, and Exhibits Model Energy Savings Performance Contract, Schedules, and Exhibits An Energy Savings Performance Contract (ESPC) ...

  12. PV performance modeling workshop summary report.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Tasca, Coryne Adelle; Cameron, Christopher P.

    2011-05-01

    During the development of a solar photovoltaic (PV) energy project, predicting expected energy production from a system is a key part of understanding system value. System energy production is a function of the system design and location, the mounting configuration, the power conversion system, and the module technology, as well as the solar resource. Even if all other variables are held constant, annual energy yield (kWh/kWp) will vary among module technologies because of differences in response to low-light levels and temperature. A number of PV system performance models have been developed and are in use, but little has been published on validation of these models or the accuracy and uncertainty of their output. With support from the U.S. Department of Energy's Solar Energy Technologies Program, Sandia National Laboratories organized a PV Performance Modeling Workshop in Albuquerque, New Mexico, September 22-23, 2010. The workshop was intended to address the current state of PV system models, develop a path forward for establishing best practices on PV system performance modeling, and set the stage for standardization of testing and validation procedures for models and input parameters. This report summarizes discussions and presentations from the workshop, as well as examines opportunities for collaborative efforts to develop objective comparisons between models and across sites and applications.

  13. Running Jobs Intermittently Slow

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    happen to jobs having inputoutput on global file systems (project, globalhomes, globalscratch2). It could also happen to aplications using shared libraries, or CCM jobs...

  14. Edison Job Size Charts

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Reports » Edison Job Size Charts Edison Job Size Charts Fraction of Hours Used per Job Size Note: Interactive charts with current and past Cori and Edison data are now available on MyNERSC This chart shows the fraction of hours used on Edison in each of 5 job-core-size bins. 2015 Usage by Job Size Chart 2014 Fraction of Hours Used by Big Jobs This chart shows the fraction of hours used on Edison by jobs using 16,384 or more cores. 2015 Usage by Job Size Chart 2014 Last edited: 2016-04-21

  15. Submitting Jobs To Mendel+

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Jobs To Mendel+ Submitting Jobs To Mendel+ New compute nodes ("Mendel+") have been installed at NERSC's new CRT building, and they are available for JGI staff. This document...

  16. Submitting Batch Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... PBSOHOST Hostname of system on which qsub was executed. This is typically a Carver login node. PBSJOBID Unique identifier for this job; important for tracking job status. ...

  17. Advances in HTGR fuel performance models

    SciTech Connect (OSTI)

    Stansfield, O.M.; Goodin, D.T.; Hanson, D.L.; Turner, R.F.

    1985-02-01

    Fuel performance models based on empirical evidence are used to predict particle failure and fission product release in the design of high-temperature gas-cooled reactors (HTGRs). Advances in HTGR fuel performance models have improved the agreement between observed and predicted performance and contributed to an enhanced position of the HTGR with regard to investment risk and passive safety. Heavy metal contamination is the source of about 55% of the circulating activity in the HTGR during normal operation, and the remainder comes primarily from particles which failed because of defective or missing buffer coatings. These failed particles make up about 5 x 10/sup -4/ fraction of the total core inventory. In addition to prediction of fuel performance during normal operation, the models are used to determine fuel failure and fission product release during core heat-up accident conditions. The mechanistic nature of the models, which incorporate all important failure modes, permits the prediction of performance from the relatively modest accident temperatures of a passively safe HTGR to the much more severe accident conditions of the larger 2240-MW(t) HTGR.

  18. Electrochemical Lithium Ion Battery Performance Model

    Energy Science and Technology Software Center (OSTI)

    2007-03-29

    The Electrochemical Lithium Ion Battery Performance Model allows for the computer prediction of the basic thermal, electrical, and electrochemical performance of a lithium ion cell with simplified geometry. The model solves governing equations describing the movement of lithium ions within and between the negative and positive electrodes. The governing equations were first formulated by Fuller, Doyle, and Newman and published in J. Electrochemical Society in 1994. The present model solves the partial differential equations governingmore » charge transfer kinetics and charge, species, heat transports in a computationally-efficient manner using the finite volume method, with special consideration given for solving the model under conditions of applied current, voltage, power, and load resistance.« less

  19. Smart Grid Cybersecurity: Job Performance Model Report and Phase 1 Overview (August 2012)

    Broader source: Energy.gov [DOE]

    In the spring of 2011, the U.S. Department of Energy awarded a project to Pacific Northwest National Laboratory in partnership with the National Board of Information Security Examiners to develop a...

  20. FAQS Job Task Analyses - Instrument and Controls | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Instrument and Controls FAQS Job Task Analyses - Instrument and Controls FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task Analyses consists of: Developing a comprehensive list of tasks that define the job such as the duties and responsibilities which include determining their levels of importance and frequency. Identifying and evaluating competencies. Last step is evaluating linkage between job tasks and competencies. FAQS JTA - Instrument and

  1. Climate Modeling using High-Performance Computing

    SciTech Connect (OSTI)

    Mirin, A A

    2007-02-05

    The Center for Applied Scientific Computing (CASC) and the LLNL Climate and Carbon Science Group of Energy and Environment (E and E) are working together to improve predictions of future climate by applying the best available computational methods and computer resources to this problem. Over the last decade, researchers at the Lawrence Livermore National Laboratory (LLNL) have developed a number of climate models that provide state-of-the-art simulations on a wide variety of massively parallel computers. We are now developing and applying a second generation of high-performance climate models. Through the addition of relevant physical processes, we are developing an earth systems modeling capability as well.

  2. Jobs Calculator | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Jobs Calculator Jobs Calculator owip_jobs_calculator_v11-0.xls (1.46 MB) More Documents & Publications WPN 10-14: Calculation of Job Creation through DOE Recovery Act Funding Progress Report Template Job Counting Guidelines

  3. STEP Intern Job Description

    Broader source: Energy.gov [DOE]

    STEP Intern Job Description, from the Tool Kit Framework: Small Town University Energy Program (STEP).

  4. System Advisor Model: Flat Plate Photovoltaic Performance Modeling Validation Report

    SciTech Connect (OSTI)

    Freeman, J.; Whitmore, J.; Kaffine, L.; Blair, N.; Dobos, A. P.

    2013-12-01

    The System Advisor Model (SAM) is a free software tool that performs detailed analysis of both system performance and system financing for a variety of renewable energy technologies. This report provides detailed validation of the SAM flat plate photovoltaic performance model by comparing SAM-modeled PV system generation data to actual measured production data for nine PV systems ranging from 75 kW to greater than 25 MW in size. The results show strong agreement between SAM predictions and field data, with annualized prediction error below 3% for all fixed tilt cases and below 8% for all one axis tracked cases. The analysis concludes that snow cover and system outages are the primary sources of disagreement, and other deviations resulting from seasonal biases in the irradiation models and one axis tracking issues are discussed in detail.

  5. Appendix MASS: Performance Assessment Modeling Assumptions

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Appendix MASS-2014 Performance Assessment Modeling Assumptions United States Department of Energy Waste Isolation Pilot Plant Carlsbad Field Office Carlsbad, New Mexico Compliance Recertification Application 2014 Appendix MASS Table of Contents MASS-1.0 Introduction MASS-2.0 Summary of Changes in Performance Assessment MASS-2.1 FEPs Assessment MASS-2.2 Monitoring MASS-2.3 Experimental Activities MASS-2.3.1 Steel Corrosion Investigations MASS-2.3.2 Waste Shear Strength Investigations MASS-2.3.3

  6. All Job Postings

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    All Job Postings All Job Postings Explore the multiple dimensions of a career at Los Alamos Lab: work with the best minds on the planet in an inclusive environment that is rich in intellectual vitality and opportunities for growth. JOBS LISTED BY MOST RECENT Criticality Safety Officer (Criticality Safety Officer 2) Job Number: IRC52234 Organization: NCO-DO/Nuclear Component Operations Div Office Posted: Thu, 01 Sep 2016 Environmental Professional 2 Job Number: IRC52216 Organization: ER-ES/

  7. CBEI Competency Model and Career Map

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ... and basic competency model format and enhanced with unique insights such as performance competencies (e.g. what makes someone particularly good at their job) * Visual, user ...

  8. 5th PV Performance Modeling Workshop

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    th PV Performance Modeling Workshop - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs

  9. Jobs and Economic Development Impacts (Postcard)

    SciTech Connect (OSTI)

    Not Available

    2011-08-01

    The U.S. Department of Energy's Wind Powering America initiative provides information on the Jobs and Economic Development Benefits model. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to the Jobs and Economic Development Benefits model section on the Wind Powering America website.

  10. Using logic models in managing performance of research and technology...

    Office of Scientific and Technical Information (OSTI)

    Using logic models in managing performance of research and technology programs: An example ... Title: Using logic models in managing performance of research and technology programs: An ...

  11. Think Again! A Fresh Look at Home Performance Business Models...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Think Again A Fresh Look at Home Performance Business Models and Service Offerings (301) Think Again A Fresh Look at Home Performance Business Models and Service Offerings (301) ...

  12. Materials Modeling for High-Performance Radiation Detectors ...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Materials Modeling for High-Performance Radiation Detectors Citation Details In-Document Search Title: Materials Modeling for High-Performance Radiation Detectors ...

  13. Summary Results for Brine Migration Modeling Performed by LANL...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Results for Brine Migration Modeling Performed by LANL, LBNL and SNL for the Used Fuel Disposition Program Summary Results for Brine Migration Modeling Performed by LANL, LBNL and ...

  14. Monitoring and Managing Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Monitoring and Managing Jobs Monitoring and Managing Jobs Commonly Used Commands Action How to do it Comment Get a summary of all batch jobs sgeusers Shows a tally of all jobs for all users including their states. This is a script that parses the output of qstat and is maintained by PDSF staff (located in /common/usg/bin). Do "sgeusers -h" for usage info. Get a listing of your jobs and their states qstat -u user_name If you skip the -u option, you'll get all the jobs on PDSF. Get

  15. Running Jobs Intermittently Slow

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Running Jobs Intermittently Slow Running Jobs Intermittently Slow October 2, 2014 Symptom: User jobs are seeing intermittent slowness, jobs can run very slow in certain stages or appear hung. This could happen to jobs having input/output on global file systems (/project, /global/homes, /global/scratch2). It could also happen to aplications using shared libraries, or CCM jobs on any Hopper file systems. The slowness is identified to be related to DVS/GPFS issues, the cause of slownwss yet

  16. Submitting Batch Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Submitting Batch Jobs Submitting Batch Jobs Debug Jobs Short jobs requesting less than 30 minutes and requiring 512 nodes (2,048 cores) or fewer can run in the debug queue. From 5am-6pm Pacific Time, 256 nodes are reserved for debugging and interactive use. See also, running Interactive Jobs. Sample Batch Scripts The following batch script requests 8 cores on 2 nodes with a 10 minute wall clock limit in the debug queue. Torque directive lines tell the batch system how to run a job and begin with

  17. US ITER | Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    US ITER Jobs ABOUT US ITER | WHY FUSION? | DOING BUSINESS WITH US ITER | MEDIA CORNER | JOBS | CONTACT US US Job Postings International Job Postings Careers in Fusion Science ITER Jobs Home > US ITER Jobs Be a Part of Something Big! US ITER is a Department of Energy multi-laboratory project that executes the US contributions to ITER for the US. The US is a non-host partner in the seven-member international collaboration between the United States, China, India, Japan, Korea, Russia, and the

  18. How Many Jobs are there in the Domestic Small Wind Industry? (Presentation)

    SciTech Connect (OSTI)

    Tegen, S.

    2013-07-01

    This poster introduces the preliminary small wind Jobs and Economic Development Impacts (JEDI) model.

  19. ENERGY EFFICIENCY: Savings, Jobs, and Competitiveness

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ENERGY EFFICIENCY: Savings, Jobs, and Competitiveness www.eere.energy.gov DOE Priorities Savings Economy Jobs Environment Competiveness Accelerating progress across technology pipeline Growing energy efficiency industry - adoption at scale Growing clean energy manufacturing Energy Efficiency: Top Priority Energy Resource www.eere.energy.gov * Technologies * Materials * Processes * Driving Demand * Building performance information * Quality workforce * Financing solutions * Energy savings

  20. Performance model assessment for multi-junction concentrating photovoltaic systems.

    SciTech Connect (OSTI)

    Riley, Daniel M.; McConnell, Robert.; Sahm, Aaron; Crawford, Clark; King, David L.; Cameron, Christopher P.; Foresi, James S.

    2010-03-01

    Four approaches to modeling multi-junction concentrating photovoltaic system performance are assessed by comparing modeled performance to measured performance. Measured weather, irradiance, and system performance data were collected on two systems over a one month period. Residual analysis is used to assess the models and to identify opportunities for model improvement.

  1. Jobs and Renewable Energy Project

    SciTech Connect (OSTI)

    Sterzinger, George

    2006-12-19

    Early in 2002, REPP developed the Jobs Calculator, a tool that calculates the number of direct jobs resulting from renewable energy development under RPS (Renewable Portfolio Standard) legislation or other programs to accelerate renewable energy development. The calculator is based on a survey of current industry practices to assess the number and type of jobs that will result from the enactment of a RPS. This project built upon and significantly enhanced the initial Jobs Calculator model by (1) expanding the survey to include other renewable technologies (the original model was limited to wind, solar PV and biomass co-firing technologies); (2) more precisely calculating the economic development benefits related to renewable energy development; (3) completing and regularly updating the survey of the commercially active renewable energy firms to determine kinds and number of jobs directly created; and (4) developing and implementing a technology to locate where the economic activity related to each type of renewable technology is likely to occur. REPP worked directly with groups in the State of Nevada to interpret the results and develop policies to capture as much of the economic benefits as possible for the state through technology selection, training program options, and outreach to manufacturing groups.

  2. Running Jobs by Group

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Running Jobs by Group Running Jobs by Group Daily Graph: Weekly Graph: Monthly Graph: Yearly Graph: 2 Year Graph: Last edited: 2016-04-29 11:34:43

  3. Running Jobs by Group

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Running Jobs by Group Running Jobs by Group Daily Graph: Weekly Graph: Monthly Graph: Yearly Graph: 2 Year Graph: Last edited: 2011-04-05 13:59:48...

  4. Pending Jobs by Group

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Pending Jobs by Group Pending Jobs by Group Daily Graph: Weekly Graph: Monthly Graph: Yearly Graph: 2 Year Graph: Last edited: 2011-04-05 14:00:14...

  5. US ITER | Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Postings Careers in Fusion Science ITER Jobs Home > Jobs > Careers in Fusion Science Learn More About Working at US ITER and Careers in Fusion Science Jan Berry Takes a Different ...

  6. Pending Jobs by Group

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Pending Jobs by Group Pending Jobs by Group Daily Graph: Weekly Graph: Monthly Graph: Yearly Graph: 2 Year Graph: Last edited: 2016-04-29 11:35:04

  7. Monitoring and Managing Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    GenepoolPhoebe. qstat -u username If you skip the -u option, you'll only see jobs for your username. qstatlong -u username Regular qstat truncates job names to 10 characters. ...

  8. Green Jobs Training Center

    Broader source: Energy.gov [DOE]

    Provides an overview of the training available through the Green Jobs Training Center including certification courses and the apprenticeship program.

  9. Using Job Arrays

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Job arrays can be submitted from the command line with the -t option to qsub, e.g.,: qsub -t 1-20:1 myjob.csh This would submit 20 identical jobs with job indices from 1-20. If the ...

  10. Using Job Arrays on Carver

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Job Arrays on Carver Using Job Arrays on Carver Job Arrays Job arrays are a way to submit many jobs using only 1 batch submission script. The term task arrays is often used in documentation for what are called job arrays below. The behavior of the different jobs of the array can be controlled by the different values of the PBS_ARRAYID environment variable for each job in the array. Job Array Example This is an example of a job array that will run several different jobs on the Carver serial

  11. Evolution of CMS Workload Management Towards Multicore Job Support

    SciTech Connect (OSTI)

    Perez-Calero Yzquierdo, A.; Hernández, J. M.; Khan, F. A.; Letts, J.; Majewski, K.; Rodrigues, A. M.; McCrea, A.; Vaandering, E.

    2015-12-23

    The successful exploitation of multicore processor architectures is a key element of the LHC distributed computing system in the coming era of the LHC Run 2. High-pileup complex-collision events represent a challenge for the traditional sequential programming in terms of memory and processing time budget. The CMS data production and processing framework is introducing the parallel execution of the reconstruction and simulation algorithms to overcome these limitations. CMS plans to execute multicore jobs while still supporting singlecore processing for other tasks difficult to parallelize, such as user analysis. The CMS strategy for job management thus aims at integrating single and multicore job scheduling across the Grid. This is accomplished by employing multicore pilots with internal dynamic partitioning of the allocated resources, capable of running payloads of various core counts simultaneously. An extensive test programme has been conducted to enable multicore scheduling with the various local batch systems available at CMS sites, with the focus on the Tier-0 and Tier-1s, responsible during 2015 of the prompt data reconstruction. Scale tests have been run to analyse the performance of this scheduling strategy and ensure an efficient use of the distributed resources. This paper presents the evolution of the CMS job management and resource provisioning systems in order to support this hybrid scheduling model, as well as its deployment and performance tests, which will enable CMS to transition to a multicore production model for the second LHC run.

  12. Running Jobs Efficiently

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimization » Running Jobs Efficiently Running Jobs Efficiently Job Efficiency A job's efficiency is the ratio of its CPU time to the actual time it took to run, i.e., cputime / walltime. A good efficiency at PDSF might be 70% or higher. Certainly an efficiency of less than 50% is indicative of some sort of problem with the job. The most common reason for low efficiency is slow IO reading data from disk but other factors, such as loading software, also can contribute. To see the efficiency for

  13. JOBS FC 1.1 (JOBS and economic impacts of Fuel Cells)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    1 (JOBS and economic impacts of Fuel Cells)* Marianne Mintz, Jerry Gillette and John Molburg, Argonne National Laboratory Eric Stewart and Catherine Mertes, RCF Economic & Financial Consulting December 11, 2012 *Funded by EERE-FCT Program 2 Outline  Welcome and Introductions  Overview of JOBS FC - Marianne Mintz - Approach - Functionality  Demo - Eric Stewart  Acknowledgements & Next Steps - Marianne Mintz  Questions 3 JOBS FC models input-output effects of FC deployment

  14. Jobs and Economic Impacts Reports | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Information Resources » Technical Publications » Jobs and Economic Impacts Reports Jobs and Economic Impacts Reports Find analysis reports about jobs and other economic impacts resulting from fuel cell deployment in transportation and early market applications. Economic Impacts Associated with Commercializing Fuel Cell Electric Vehicles in California: An Analysis of the California Road Map Using the JOBS H2 Model (Argonne National Laboratory, December 2014) Economic Impact of Fuel Cell

  15. Monitoring jobs with qs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Jobs » Monitoring jobs with qs Monitoring jobs with qs qs is an alternative tool to the SGE-provided qstat for querying the queue status developed at NERSC. qs provides an enhanced user interface designed to make it easier to see resource requests, utilization, and job position in the queue. qs provides a centralized web-service that can be queried using either the provided "qs" client, or by HTTP connection to the qs server. qs reports data from a cached copy of the genepool UGE

  16. Fuel Performance Modeling: An Overview of Approaches...

    Office of Environmental Management (EM)

    Reactor Measurement of Tritium Permeation through Stainless Steel Cladding Presented by ... Outline Motivation Characterize in-reactor tritium permeation performance Observe ...

  17. Multiscale modeling and characterization for performance and...

    Office of Scientific and Technical Information (OSTI)

    Lithium-ion batteries are highly complex electrochemical systems whose performance and safety are governed by coupled nonlinear electrochemical-electrical-thermal-mechanical ...

  18. Model Documents for an Energy Savings Performance Contract Project |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Model Documents for an Energy Savings Performance Contract Project Model Documents for an Energy Savings Performance Contract Project This page contains a model contract template and companion documents to help you launch energy efficiency projects through Energy Savings Performance Contracting (ESPC). Read about how these documents were developed. The ESPC Model Documents were prepared as resources that can be used when developing or updating procurement and contracting

  19. Quality Assurance for Performance Assessment Modeling

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation from the 2015 Annual Performance and Risk Assessment (P&RA) Community of Practice (CoP) Technical Exchange Meeting held in Richland, Washington on December 15-16, 2015.

  20. Detailed Performance Model for Photovoltaic Systems: Preprint

    SciTech Connect (OSTI)

    Tian, H.; Mancilla-David, F.; Ellis, K.; Muljadi, E.; Jenkins, P.

    2012-07-01

    This paper presents a modified current-voltage relationship for the single diode model. The single-diode model has been derived from the well-known equivalent circuit for a single photovoltaic cell. The modification presented in this paper accounts for both parallel and series connections in an array.

  1. Performance and Degradation Modeling of Batteries | Department...

    Broader source: Energy.gov (indexed) [DOE]

    Model-Experimental Studies on Next-generation Li-ion Materials Development of Si-based High Capacity Anodes Vehicle Technologies Office Merit Review 2014: Development of Silicon-ba...

  2. Developing an Energy Performance Modeling Startup Kit

    SciTech Connect (OSTI)

    none,

    2012-10-01

    In 2011, the NAHB Research Center began assessing the needs and motivations of residential remodelers regarding energy performance remodeling. This report outlines: the current remodeling industry and the role of energy efficiency; gaps and barriers to adding energy efficiency into remodeling; and support needs of professional remodelers to increase sales and projects involving improving home energy efficiency.

  3. Transferring Data from Batch Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Transferring Data from Batch Jobs Transferring Data from Batch Jobs Examples Once you are set up for automatic authentication (see HPSS Passwords) you can access HPSS within batch...

  4. Palm: Easing the Burden of Analytical Performance Modeling

    SciTech Connect (OSTI)

    Tallent, Nathan R.; Hoisie, Adolfy

    2014-06-01

    Analytical (predictive) application performance models are critical for diagnosing performance-limiting resources, optimizing systems, and designing machines. Creating models, however, is difficult because they must be both accurate and concise. To ease the burden of performance modeling, we developed Palm, a modeling tool that combines top-down (human-provided) semantic insight with bottom-up static and dynamic analysis. To express insight, Palm defines a source code modeling annotation language. By coordinating models and source code, Palm's models are `first-class' and reproducible. Unlike prior work, Palm formally links models, functions, and measurements. As a result, Palm (a) uses functions to either abstract or express complexity (b) generates hierarchical models (representing an application's static and dynamic structure); and (c) automatically incorporates measurements to focus attention, represent constant behavior, and validate models. We discuss generating models for three different applications.

  5. Performance of the Community Earth System Model | Argonne Leadership

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Computing Facility Performance of the Community Earth System Model Authors: Worley, P.H., Craig, A., Dennis, J., Mirin, A.A., Taylor, M.A., Vertenstein, M. The Community Earth System Model (CESM), released in June 2010, incorporates new physical process and new numerical algorithm options, significantly enhancing simulation capabilities over its predecessor, the June 2004 release of the Community Climate System Model. CESM also includes enhanced performance tuning options and performance

  6. Modeling the Mechanical Performance of Die Casting Dies

    SciTech Connect (OSTI)

    R. Allen Miller

    2004-02-27

    The following report covers work performed at Ohio State on modeling the mechanical performance of dies. The focus of the project was development and particularly verification of finite element techniques used to model and predict displacements and stresses in die casting dies. The work entails a major case study performed with and industrial partner on a production die and laboratory experiments performed at Ohio State.

  7. Assessment of Land Surface Model Performance in WRF for Simulating...

    Office of Scientific and Technical Information (OSTI)

    Wind Energy Community Citation Details In-Document Search Title: Assessment of Land Surface Model Performance in WRF for Simulating Wind at Heights Relevant to the Wind Energy ...

  8. Fuel Cell Power Model for CHHP System Economics and Performance...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Fuel Cell Power Model for CHHP System Economics and Performance Analysis Presented at the Renewable Hydrogen Workshop, Nov. 16, 2009, in Palm Springs, CA renewablehydrogenworksho...

  9. Assessment of Land Surface Model Performance in WRF for Simulating...

    Office of Scientific and Technical Information (OSTI)

    Assessment of Land Surface Model Performance in WRF for Simulating Wind at Heights Relevant to the Wind Energy Community Citation Details In-Document Search Title: Assessment of ...

  10. A Comparison of HCCI Engine Performance Data and Kinetic Modeling...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Kinetic models of fuels are needed to allow the simulation of engine performance for research, design, or verification purposes. PDF icon deer09bunting.pdf More Documents &...

  11. Using logic models in managing performance of research and technology...

    Office of Scientific and Technical Information (OSTI)

    Using logic models in managing performance of research and technology programs: An example for a Federal Energy Efficiency and Renewable Energy program Citation Details In-Document ...

  12. Performance Modeling for 3D Visualization in a Heterogeneous...

    Office of Scientific and Technical Information (OSTI)

    We explore a methodology for building a model of overall application performance using a ... The prediction methodology will form the foundation of a more robust resource management ...

  13. Job Launch Command: aprun

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    aprun Job Launch Command: aprun You must use the aprun command to launch jobs on the Hopper compute nodes. Use it for serial, MPI, OpenMP, UPC, and hybrid MPI/OpenMP or hybrid MPI/CAF jobs. You should view the MAN pages for aprun on Hopper or you can see them here. Basic aprun Options OPTION DESCRIPTION -n Number of MPI tasks. -N (Optional) Number of tasks per Hopper Node. Default is 24. -d (Optional) Depth, or number of threads, per MPI task. Use this very important option in addition to

  14. Developing an Energy Performance Modeling Startup Kit

    SciTech Connect (OSTI)

    Wood, A.

    2012-10-01

    In 2011, the NAHB Research Center began the first part of the multi-year effort by assessing the needs and motivations of residential remodelers regarding energy performance remodeling. The scope is multifaceted - all perspectives will be sought related to remodeling firms ranging in size from small-scale, sole proprietor to national. This will allow the Research Center to gain a deeper understanding of the remodeling and energy retrofit business and the needs of contractors when offering energy upgrade services. To determine the gaps and the motivation for energy performance remodeling, the NAHB Research Center conducted (1) an initial series of focus groups with remodelers at the 2011 International Builders' Show, (2) a second series of focus groups with remodelers at the NAHB Research Center in conjunction with the NAHB Spring Board meeting in DC, and (3) quantitative market research with remodelers based on the findings from the focus groups. The goal was threefold, to: Understand the current remodeling industry and the role of energy efficiency; Identify the gaps and barriers to adding energy efficiency into remodeling; and Quantify and prioritize the support needs of professional remodelers to increase sales and projects involving improving home energy efficiency. This report outlines all three of these tasks with remodelers.

  15. Modeling of the performance of weapons MOX fuel in light water reactors

    SciTech Connect (OSTI)

    Alvis, J.; Bellanger, P.; Medvedev, P.G.; Peddicord, K.L.; Gellene, G.I.

    1999-05-01

    Both the Russian Federation and the US are pursing mixed uranium-plutonium oxide (MOX) fuel in light water reactors (LWRs) for the disposition of excess plutonium from disassembled nuclear warheads. Fuel performance models are used which describe the behavior of MOX fuel during irradiation under typical power reactor conditions. The objective of this project is to perform the analysis of the thermal, mechanical, and chemical behavior of weapons MOX fuel pins under LWR conditions. If fuel performance analysis indicates potential questions, it then becomes imperative to assess the fuel pin design and the proposed operating strategies to reduce the probability of clad failure and the associated release of radioactive fission products into the primary coolant system. Applying the updated code to anticipated fuel and reactor designs, which would be used for weapons MOX fuel in the US, and analyzing the performance of the WWER-100 fuel for Russian weapons plutonium disposition are addressed in this report. The COMETHE code was found to do an excellent job in predicting fuel central temperatures. Also, despite minor predicted differences in thermo-mechanical behavior of MOX and UO{sub 2} fuels, the preliminary estimate indicated that, during normal reactor operations, these deviations remained within limits foreseen by fuel pin design.

  16. Vehicle Technologies Program - Jobs in Advanced Vehicle Technologies (Green Jobs)

    SciTech Connect (OSTI)

    2010-05-01

    Transformation of the U.S. transportation sector will secure existing jobs and create new opportunities.

  17. Performance model assessment for multi-junction concentrating photovoltaic systems.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Riley, Daniel M.; McConnell, Robert.; Sahm, Aaron; Crawford, Clark; King, David L.; Cameron, Christopher P.; Foresi, James S.

    2010-03-01

    Four approaches to modeling multi-junction concentrating photovoltaic system performance are assessed by comparing modeled performance to measured performance. Measured weather, irradiance, and system performance data were collected on two systems over a one month period. Residual analysis is used to assess the models and to identify opportunities for model improvement. Large photovoltaic systems are typically developed as projects which supply electricity to a utility and are owned by independent power producers. Obtaining financing at favorable rates and attracting investors requires confidence in the projected energy yield from the plant. In this paper, various performance models for projecting annual energy yield from Concentrating Photovoltaic (CPV) systems are assessed by comparing measured system output to model predictions based on measured weather and irradiance data. The results are statistically analyzed to identify systematic error sources.

  18. Aspen: A Domain Specific Language for Performance Modeling

    SciTech Connect (OSTI)

    Spafford, Kyle L; Vetter, Jeffrey S

    2012-01-01

    We present a new approach to analytical performance modeling using Aspen, a domain specific language. Aspen (Abstract Scalable Performance Engineering Notation) fills an important gap in existing performance modeling techniques and is designed to enable rapid exploration of new algorithms and architectures. It includes a formal specification of an application's performance behavior and an abstract machine model. We provide an overview of Aspen's features and demonstrate how it can be used to express a performance model for a three dimensional Fast Fourier Transform. We then demonstrate the composability and modularity of Aspen by importing and reusing the FFT model in a molecular dynamics model. We have also created a number of tools that allow scientists to balance application and system factors quickly and accurately.

  19. US ITER | Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    What were you doing before you came to US ITER? When I was a sophomore at UTK, I began to ... and later bid on the job at ITER where I have been for the last five and a half years. ...

  20. Submitting Batch Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The following batch script requests 8 cores on 2 nodes with a 10 minute wall clock limit ... runs since it is the user's intention to exceed wall clock limit for the first job. ...

  1. Submitting PDSF Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    This means that if you load a module on a login node and then submit a job with the "-V" ... Instead, you should load the modules in the script you are submitting to the batch system ...

  2. IT Job Shadow Day

    Broader source: Energy.gov [DOE]

    IT Job Shadow Day aims to educate and engage high school students in a variety of information technology careers within the federal government. Participating students will shadow federal technology professionals at federal workplaces.

  3. Jobs | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Jobs We offer an unequalled variety of opportunities for individuals in a wide range of professional disciplines: from science and engineering to business and program analysis. Only here will you have access to unlimited career opportunities that impact these issues, while serving your country and enjoying the benefits of a career with the Federal Government. Most Federal job opportunities require personnel to be U.S. citizens. ** However, non-U.S. citizens may apply for some opportunities at

  4. Multitasking TORT under UNICOS: Parallel performance models and measurements

    SciTech Connect (OSTI)

    Barnett, A.; Azmy, Y.Y.

    1999-09-27

    The existing parallel algorithms in the TORT discrete ordinates code were updated to function in a UNICOS environment. A performance model for the parallel overhead was derived for the existing algorithms. The largest contributors to the parallel overhead were identified and a new algorithm was developed. A parallel overhead model was also derived for the new algorithm. The results of the comparison of parallel performance models were compared to applications of the code to two TORT standard test problems and a large production problem. The parallel performance models agree well with the measured parallel overhead.

  5. Cost and Performance Assumptions for Modeling Electricity Generation Technologies

    SciTech Connect (OSTI)

    Tidball, Rick; Bluestein, Joel; Rodriguez, Nick; Knoke, Stu

    2010-11-01

    The goal of this project was to compare and contrast utility scale power plant characteristics used in data sets that support energy market models. Characteristics include both technology cost and technology performance projections to the year 2050. Cost parameters include installed capital costs and operation and maintenance (O&M) costs. Performance parameters include plant size, heat rate, capacity factor or availability factor, and plant lifetime. Conventional, renewable, and emerging electricity generating technologies were considered. Six data sets, each associated with a different model, were selected. Two of the data sets represent modeled results, not direct model inputs. These two data sets include cost and performance improvements that result from increased deployment as well as resulting capacity factors estimated from particular model runs; other data sets represent model input data. For the technologies contained in each data set, the levelized cost of energy (LCOE) was also evaluated, according to published cost, performance, and fuel assumptions.

  6. Maintenance personnel performance simulation (MAPPS): a model for predicting maintenance performance reliability in nuclear power plants

    SciTech Connect (OSTI)

    Knee, H.E.; Krois, P.A.; Haas, P.M.; Siegel, A.I.; Ryan, T.G.

    1983-01-01

    The NRC has developed a structured, quantitative, predictive methodology in the form of a computerized simulation model for assessing maintainer task performance. Objective of the overall program is to develop, validate, and disseminate a practical, useful, and acceptable methodology for the quantitative assessment of NPP maintenance personnel reliability. The program was organized into four phases: (1) scoping study, (2) model development, (3) model evaluation, and (4) model dissemination. The program is currently nearing completion of Phase 2 - Model Development.

  7. Find Jobs | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Jobs Find Jobs Clean energy jobs can be found in the public, private, and nonprofit sectors and can range from entry-level to professional positions in a wide range of fields. This section can help you familiarize yourself with different types of green energy jobs as you begin your search for a job that meets your interests and skills. EERE Career Opportunities EERE Career Opportunities Energy Efficency and Renewable Energy, the DOE office leading the nation's effort to enhance energy efficiency

  8. Final Report: Performance Modeling Activities in PERC2

    SciTech Connect (OSTI)

    Allan Snavely

    2007-02-25

    Progress in Performance Modeling for PERC2 resulted in: • Automated modeling tools that are robust, able to characterize large applications running at scale while simultaneously simulating the memory hierarchies of mul-tiple machines in parallel. • Porting of the requisite tracer tools to multiple platforms. • Improved performance models by using higher resolution memory models that ever before. • Adding control-flow and data dependency analysis to the tracers used in perform-ance tools. • Exploring and developing several new modeling methodologies. • Using modeling tools to develop performance models for strategic codes. • Application of modeling methodology to make a large number of “blind” per-formance predictions on certain mission partner applications, targeting most cur-rently available system architectures. • Error analysis to correct some systematic biases encountered as part of the large-scale blind prediction exercises. • Addition of instrumentation capabilities for communication libraries other than MPI. • Dissemination the tools and modeling methods to several mission partners, in-cluding DoD HPCMO and two DARPA HPCS vendors (Cray and IBM), as well as to the wider HPC community via a series of tutorials.

  9. Performance modelling of a proton exchange membrane fuel cell

    SciTech Connect (OSTI)

    Marr, C.; Li, X.

    1998-12-31

    This paper presents a performance model of a proton exchange membrane fuel cell that has sufficient accuracy for engineering applications with reduced computational requirements. The model includes electrochemical reaction in the catalyst layers and formulation for electrical resistance in the membrane, electrodes and bipolar plates, and employs engineering correlation for the reactant gas transport in the flow channels and through the electrodes. It is shown that the present model predictions are in reasonable agreement with known experimental observations, indicating that the present model can be employed for fuel cell stack and system modeling. The effect of various operating and design parameters on the cell performance has been investigated. It is found that mass transport limitations are the largest cause of performance loss in the cell when graphite is used as the material for bipolar plates and electrodes. If conducting polymers are substituted as construction materials, cell performance is expected to suffer considerably at high current densities due to their reduced electrical conductivity.

  10. Models Used to Assess the Performance of Photovoltaic Systems

    Office of Energy Efficiency and Renewable Energy (EERE)

    This report documents the various photovoltaic (PV) performance models and software developed and utilized by researchers at Sandia National Laboratories (SNL) in support of the Photovoltaics and Grid Integration Department. In addition to PV performance models, hybrid system and battery storage models are discussed. A hybrid system using other distributed sources and energy storage can help reduce the variability inherent in PV generation, and due to the complexity of combining multiple generation sources and system loads, these models are invaluable for system design and optimization.

  11. Models used to assess the performance of photovoltaic systems.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Klise, Geoffrey T.

    2009-12-01

    This report documents the various photovoltaic (PV) performance models and software developed and utilized by researchers at Sandia National Laboratories (SNL) in support of the Photovoltaics and Grid Integration Department. In addition to PV performance models, hybrid system and battery storage models are discussed. A hybrid system using other distributed sources and energy storage can help reduce the variability inherent in PV generation, and due to the complexity of combining multiple generation sources and system loads, these models are invaluable for system design and optimization. Energy storage plays an important role in reducing PV intermittency and battery storage models are used to understand the best configurations and technologies to store PV generated electricity. Other researcher's models used by SNL are discussed including some widely known models that incorporate algorithms developed at SNL. There are other models included in the discussion that are not used by or were not adopted from SNL research but may provide some benefit to researchers working on PV array performance, hybrid system models and energy storage. The paper is organized into three sections to describe the different software models as applied to photovoltaic performance, hybrid systems, and battery storage. For each model, there is a description which includes where to find the model, whether it is currently maintained and any references that may be available. Modeling improvements underway at SNL include quantifying the uncertainty of individual system components, the overall uncertainty in modeled vs. measured results and modeling large PV systems. SNL is also conducting research into the overall reliability of PV systems.

  12. Franklin Completed Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Completed Jobs Franklin Completed Jobs Select a time period Show jobs that completed after Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 @ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 : 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46

  13. Advanced Fuel Performance: Modeling and Simulation Light Water Reactor Fuel Performance:

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    63 No. 8 * JOM 49 www.tms.org/jom.html Advanced Fuel Performance: Modeling and Simulation Light Water Reactor Fuel Performance: Current Status, Challenges, and Future High Fidelity Modeling K. Edsinger, C.R. Stanek, and B.D. Wirth How would you... ...describe the overall signifcance of this paper? This paper provides a concise description of the nuclear fuel used in pressurized water nuclear reactors and the most commonly observed fuel failure mechanisms. ...describe this work to a materials

  14. PROJECT PROFILE: Performance Models and Standards for Bifacial PV Module

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Technologies | Department of Energy Performance Models and Standards for Bifacial PV Module Technologies PROJECT PROFILE: Performance Models and Standards for Bifacial PV Module Technologies Funding Opportunity: SuNLaMP SunShot Subprogram: Photovoltaics Location: Sandia National Laboratories, Albuquerque, NM Amount Awarded: $3,000,000 Bifacial PV modules absorb sunlight and produce electricity from both the front and back sides of the module and can take advantage of light reflected from a

  15. Running Interactive Batch Jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Interactive Batch Jobs Running Interactive Batch Jobs You cannot login to the PDSF batch nodes directly but you can run an interactive session on a batch node using either qlogin or qsh. This can be useful if you are doing something that is potentially disruptive or if the interactive nodes are overloaded. qlogin will give you an interactive session in the same window as your original session on PDSF, however, you must have your ssh keys in place. You can do this locally on PDSF by following

  16. Running Jobs with Shifter

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Docker » Running Jobs with Shifter Running Jobs with Shifter Shifter functionality at NERSC is undergoing rapid development and is an experimental service. Usage will change over time, we will do our best to keep the documentation up to date, but there may be inconsistencies. The easiest way to use shifter is via Docker. You can create a Docker image with your desired software and operating system. Please keep in mind that root is squashed on shifter images, so the software should be installed

  17. Job Openings | Jefferson Lab

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Job Openings Jefferson Lab jobs come in all stripes. Whether you're a physicist, a mechanical engineer or an administrative assistant, there's an opportunity for you. Be part of something big. Working at Jefferson Lab is a different experience. You can have a role in "big science" and help people discover more about our visible universe. You could call it work, or you could call it a mission. We call it a challenge. We do things that could change the world. Accessibility Jefferson Lab

  18. Model Financing Solicitation for Energy Savings Performance Contracts |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Financing Solicitation for Energy Savings Performance Contracts Model Financing Solicitation for Energy Savings Performance Contracts Financial firms may be competitively selected to provide financing, where the solicitation can be handled by the end-user or by an Energy Service Company (ESCO) on behalf of an institution as part of an Energy Savings Performance Contract (ESPC). The financing agreement is a stand-alone document, separate from the ESPC, between the

  19. Integrating Photovoltaic Systems into Low-Income Housing Developments: A Case Study on the Creation of a New Residential Financing Model and Low-Income Resident Job Training Program, September 2011 (Brochure)

    SciTech Connect (OSTI)

    Dean, J.; Smith-Dreier, C.; Mekonnen, G.; Hawthorne, W.

    2011-09-01

    This case study covers the process of successfully integrating photovoltaic (PV) systems into a low-income housing development in northeast Denver, Colorado, focusing specifically on a new financing model and job training. The Northeast Denver Housing Center (NDHC), working in cooperation with Del Norte Neighborhood Development Corporation, Groundwork Denver, and the National Renewable Energy Laboratory (NREL), was able to finance the PV system installations by blending private equity funding with utility rebates, federal tax credits, and public sector funding. A grant provided by the Governor's Energy Office allowed for the creation of the new financing model. In addition, the program incorporated an innovative low-income job training program and an energy conservation incentive program.

  20. Performance Models for the Spike Banded Linear System Solver

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Manguoglu, Murat; Saied, Faisal; Sameh, Ahmed; Grama, Ananth

    2011-01-01

    With availability of large-scale parallel platforms comprised of tens-of-thousands of processors and beyond, there is significant impetus for the development of scalable parallel sparse linear system solvers and preconditioners. An integral part of this design process is the development of performance models capable of predicting performance and providing accurate cost models for the solvers and preconditioners. There has been some work in the past on characterizing performance of the iterative solvers themselves. In this paper, we investigate the problem of characterizing performance and scalability of banded preconditioners. Recent work has demonstrated the superior convergence properties and robustness of banded preconditioners,more » compared to state-of-the-art ILU family of preconditioners as well as algebraic multigrid preconditioners. Furthermore, when used in conjunction with efficient banded solvers, banded preconditioners are capable of significantly faster time-to-solution. Our banded solver, the Truncated Spike algorithm is specifically designed for parallel performance and tolerance to deep memory hierarchies. Its regular structure is also highly amenable to accurate performance characterization. Using these characteristics, we derive the following results in this paper: (i) we develop parallel formulations of the Truncated Spike solver, (ii) we develop a highly accurate pseudo-analytical parallel performance model for our solver, (iii) we show excellent predication capabilities of our model – based on which we argue the high scalability of our solver. Our pseudo-analytical performance model is based on analytical performance characterization of each phase of our solver. These analytical models are then parameterized using actual runtime information on target platforms. An important consequence of our performance models is that they reveal underlying performance bottlenecks in both serial and parallel formulations. All of our results are validated

  1. Analytic models of supercomputer performance in multiprogramming environments

    SciTech Connect (OSTI)

    Menasce, D.A. ); Almeida, V.A.F. )

    1989-01-01

    Supercomputers run multiprogrammed time-sharing operating systems, so their facilities can be shared by many local and remote users. Therefore, it is important to be able to assess the performance of supercomputers and multiprogrammed environments. Analytic models based on Queueing Networks (QNs) and Stochastic Petri Nets (SPNs) are used in this paper with two purposes: to evaluate the performance of supercomputers in multiprogrammed environments, and to compare, performance-wise, conventional supercomputer architectures with a novel architecture proposed here. It is shown, with the aid of the analytic models, that the proposed architecture is preferable performance-wise over the existing conventional supercomputer architectures. A three-level workload characterization model for supercomputers is presented. Input data for the numerical examples discussed here are extracted from the well-known Los Alamos benchmark, and the results are validated by simulation.

  2. Multi-Scale Multi-Dimensional Ion Battery Performance Model

    Energy Science and Technology Software Center (OSTI)

    2007-05-07

    The Multi-Scale Multi-Dimensional (MSMD) Lithium Ion Battery Model allows for computer prediction and engineering optimization of thermal, electrical, and electrochemical performance of lithium ion cells with realistic geometries. The model introduces separate simulation domains for different scale physics, achieving much higher computational efficiency compared to the single domain approach. It solves a one dimensional electrochemistry model in a micro sub-grid system, and captures the impacts of macro-scale battery design factors on cell performance and materialmore » usage by solving cell-level electron and heat transports in a macro grid system.« less

  3. Weighted Running Jobs by Group

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Weighted Running Jobs by Group Weighted Running Jobs by Group Daily Graph: Weekly Graph: Monthly Graph: Yearly Graph: 2 Year Graph: Last edited: 2016-04-29 11:34:54

  4. Using Carver for PDSF jobs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Action How to do it Comments Show all serial jobs qstat -a serial -n long ouput - consider piping to more Show all jobs of one user qstat -u long output - consider ...

  5. Human performance modeling for system of systems analytics: combat performance-shaping factors.

    SciTech Connect (OSTI)

    Lawton, Craig R.; Miller, Dwight Peter

    2006-01-01

    The US military has identified Human Performance Modeling (HPM) as a significant requirement and challenge of future systems modeling and analysis initiatives. To support this goal, Sandia National Laboratories (SNL) has undertaken a program of HPM as an integral augmentation to its system-of-system (SoS) analytics capabilities. The previous effort, reported in SAND2005-6569, evaluated the effects of soldier cognitive fatigue on SoS performance. The current effort began with a very broad survey of any performance-shaping factors (PSFs) that also might affect soldiers performance in combat situations. The work included consideration of three different approaches to cognition modeling and how appropriate they would be for application to SoS analytics. This bulk of this report categorizes 47 PSFs into three groups (internal, external, and task-related) and provides brief descriptions of how each affects combat performance, according to the literature. The PSFs were then assembled into a matrix with 22 representative military tasks and assigned one of four levels of estimated negative impact on task performance, based on the literature. Blank versions of the matrix were then sent to two ex-military subject-matter experts to be filled out based on their personal experiences. Data analysis was performed to identify the consensus most influential PSFs. Results indicate that combat-related injury, cognitive fatigue, inadequate training, physical fatigue, thirst, stress, poor perceptual processing, and presence of chemical agents are among the PSFs with the most negative impact on combat performance.

  6. More Than Just a Job

    Broader source: Energy.gov [DOE]

    Jane Johnston came to Argonne National Laboratory for a job funded through the Recovery Act, and found supportive colleagues.

  7. Dynamic simulation models and performance of an OTEC power plant

    SciTech Connect (OSTI)

    Wormley, D.N.; Carmichael, D.A.; Umans, S.

    1983-08-01

    In this study, the aspects of plant performance which influence the potential for integration of an OTEC plant into a utility grid are considered. A set of simulation models have been developed for the evaluation of OTEC dynamic plant performance. A detailed nonlinear dynamic model has been forumlated which is useful for the assessment of component performance including heat exchangers, turbines, pumps and control systems. A reduced order linear model has been developed which is useful for studies of plant stability, control system development and transient performance of the plant connected to a utility grid. This model is particularly suitable for transient dynamic studies of an OTEC plant as a unit in a utility grid. A quasi-steady power availability model has also been developed which is useful to determine plant ouput power as a function of ocean thermal gradients so that the influence of daily and seasonal temperature variations may be easily computed. The study has found no fundamental technical barriers which would prohibit the interconnection of an OTEC plant into a utility grid. It has also shown that detailed consideration of turbine nozzle angle control is merited and such a control has the potential to provide superior performance in comparison to turbine bypass valve control.

  8. Better Buildings Neighborhood Program Business Models Guide: Home Performance Contractor Business Model

    Broader source: Energy.gov [DOE]

    The home performance contractor model walks through the “one-stop-shop” model for home energy upgrades. It illustrates both the opportunities and barriers for starting as a home performance contractor company from the beginning, rather than expanding from an existing model, such as a remodeler.

  9. Human performance modeling for system of systems analytics :soldier fatigue.

    SciTech Connect (OSTI)

    Lawton, Craig R.; Campbell, James E.; Miller, Dwight Peter

    2005-10-01

    The military has identified Human Performance Modeling (HPM) as a significant requirement and challenge of future systems modeling and analysis initiatives as can be seen in the Department of Defense's (DoD) Defense Modeling and Simulation Office's (DMSO) Master Plan (DoD 5000.59-P 1995). To this goal, the military is currently spending millions of dollars on programs devoted to HPM in various military contexts. Examples include the Human Performance Modeling Integration (HPMI) program within the Air Force Research Laboratory, which focuses on integrating HPMs with constructive models of systems (e.g. cockpit simulations) and the Navy's Human Performance Center (HPC) established in September 2003. Nearly all of these initiatives focus on the interface between humans and a single system. This is insufficient in the era of highly complex network centric SoS. This report presents research and development in the area of HPM in a system-of-systems (SoS). Specifically, this report addresses modeling soldier fatigue and the potential impacts soldier fatigue can have on SoS performance.

  10. Application Porting and Performance

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Profiling Your Application Improving OpenMP Scaling Measuring and Understanding Memory Bandwidth Vectorization Using on-package memory Using High Performance Libraries and Tools Testbeds Cori Training Dungeon Session Worksheet KNL White Boxes NESAP NERSC-8 Procurement Programming models File Storage and I/O Edison PDSF Genepool Queues and Scheduling Retired Systems Storage & File Systems Application Performance Data & Analytics Job Logs & Statistics Training & Tutorials Software

  11. Guidelines for Home Energy Professionals Project: Multifamily Job Task Analyses Needs Assessment

    SciTech Connect (OSTI)

    Dirr, N.; Hepinstall, D.; Douglas, M.; Buck, S.; Larney, C.

    2013-01-01

    This report describes the efforts carried out to determine whether there is a need to develop separate, multifamily-specific JTAs for the four proposed job categories. The multifamily SWS market committee considered these job designations to be the best candidates for developing JTAs and certification blueprints, as well as having the greatest potential for promoting job growth in the multifamily home performance industry.

  12. Table-top job analysis

    SciTech Connect (OSTI)

    Not Available

    1994-12-01

    The purpose of this Handbook is to establish general training program guidelines for training personnel in developing training for operation, maintenance, and technical support personnel at Department of Energy (DOE) nuclear facilities. TTJA is not the only method of job analysis; however, when conducted properly TTJA can be cost effective, efficient, and self-validating, and represents an effective method of defining job requirements. The table-top job analysis is suggested in the DOE Training Accreditation Program manuals as an acceptable alternative to traditional methods of analyzing job requirements. DOE 5480-20A strongly endorses and recommends it as the preferred method for analyzing jobs for positions addressed by the Order.

  13. Cost and Performance Model for Redox Flow Batteries

    SciTech Connect (OSTI)

    Viswanathan, Vilayanur V.; Crawford, Aladsair J.; Stephenson, David E.; Kim, Soowhan; Wang, Wei; Li, Bin; Coffey, Greg W.; Thomsen, Edwin C.; Graff, Gordon L.; Balducci, Patrick J.; Kintner-Meyer, Michael CW; Sprenkle, Vincent L.

    2014-02-01

    A cost model was developed for all vanadium and iron-vanadium redox flow batteries. Electrochemical performance modeling was done to estimate stack performance at various power densities as a function of state of charge. This was supplemented with a shunt current model and a pumping loss model to estimate actual system efficiency. The operating parameters such as power density, flow rates and design parameters such as electrode aspect ratio, electrolyte flow channel dimensions were adjusted to maximize efficiency and minimize capital costs. Detailed cost estimates were obtained from various vendors to calculate cost estimates for present, realistic and optimistic scenarios. The main drivers for cost reduction for various chemistries were identified as a function of the energy to power ratio of the storage system. Levelized cost analysis further guided suitability of various chemistries for different applications.

  14. PORFLOW Modeling Supporting The H-Tank Farm Performance Assessment

    SciTech Connect (OSTI)

    Jordan, J. M.; Flach, G. P.; Westbrook, M. L.

    2012-08-31

    Numerical simulations of groundwater flow and contaminant transport in the vadose and saturated zones have been conducted using the PORFLOW code in support of an overall Performance Assessment (PA) of the H-Tank Farm. This report provides technical detail on selected aspects of PORFLOW model development and describes the structure of the associated electronic files. The PORFLOW models for the H-Tank Farm PA, Rev. 1 were updated with grout, solubility, and inventory changes. The aquifer model was refined. In addition, a set of flow sensitivity runs were performed to allow flow to be varied in the related probabilistic GoldSim models. The final PORFLOW concentration values are used as input into a GoldSim dose calculator.

  15. Ensemble_Jobs.pptx

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Job Submission on the Blue Gene/Q: The Right Tool For The Job Paul R ich, A LCF May 1 9, 2 015 Overview § Defini:ons § Picking t he r ight t ype o f j ob § Basic s cript m ode j ob : ps § Ensemble s cript j ob : ps Argonne L eadership C ompu:ng F acility 2 Definitions and Disambiguation § Cobalt J ob --- --- A j ob s ubmiKed t o C obalt v ia q sub. S hows u p i n qstat. § Blue G ene J ob --- --- A t ask r un o n t he B lue G ene c ompute n odes v ia runjob. § Script J

  16. Reference Manual for the System Advisor Model's Wind Power Performance Model

    SciTech Connect (OSTI)

    Freeman, J.; Jorgenson, J.; Gilman, P.; Ferguson, T.

    2014-08-01

    This manual describes the National Renewable Energy Laboratory's System Advisor Model (SAM) wind power performance model. The model calculates the hourly electrical output of a single wind turbine or of a wind farm. The wind power performance model requires information about the wind resource, wind turbine specifications, wind farm layout (if applicable), and costs. In SAM, the performance model can be coupled to one of the financial models to calculate economic metrics for residential, commercial, or utility-scale wind projects. This manual describes the algorithms used by the wind power performance model, which is available in the SAM user interface and as part of the SAM Simulation Core (SSC) library, and is intended to supplement the user documentation that comes with the software.

  17. A Programming Model Performance Study Using the NAS Parallel Benchmarks

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Shan, Hongzhang; Blagojević, Filip; Min, Seung-Jai; Hargrove, Paul; Jin, Haoqiang; Fuerlinger, Karl; Koniges, Alice; Wright, Nicholas J.

    2010-01-01

    Harnessing the power of multicore platforms is challenging due to the additional levels of parallelism present. In this paper we use the NAS Parallel Benchmarks to study three programming models, MPI, OpenMP and PGAS to understand their performance and memory usage characteristics on current multicore architectures. To understand these characteristics we use the Integrated Performance Monitoring tool and other ways to measure communication versus computation time, as well as the fraction of the run time spent in OpenMP. The benchmarks are run on two different Cray XT5 systems and an Infiniband cluster. Our results show that in general the threemore » programming models exhibit very similar performance characteristics. In a few cases, OpenMP is significantly faster because it explicitly avoids communication. For these particular cases, we were able to re-write the UPC versions and achieve equal performance to OpenMP. Using OpenMP was also the most advantageous in terms of memory usage. Also we compare performance differences between the two Cray systems, which have quad-core and hex-core processors. We show that at scale the performance is almost always slower on the hex-core system because of increased contention for network resources.« less

  18. Maintenance personnel performance simulation (MAPPS) model: overview and evaluation efforts

    SciTech Connect (OSTI)

    Knee, H.E.; Haas, P.M.; Siegel, A.I.; Bartter, W.D.; Wolf, J.J.; Ryan, T.G.

    1984-01-01

    The development of the MAPPS model has been completed and the model is currently undergoing evaluation. These efforts are addressing a number of identified issues concerning practicality, acceptability, usefulness, and validity. Preliminary analysis of the evaluation data that has been collected indicates that MAPPS will provide comprehensive and reliable data for PRA purposes and for a number of other applications. The MAPPS computer simulation model provides the user with a sophisticated tool for gaining insights into tasks performed by NPP maintenance personnel. Its wide variety of input parameters and output data makes it extremely flexible for application to a number of diverse applications. With the demonstration of favorable model evaluation results, the MAPPS model will represent a valuable source of NPP maintainer reliability data and provide PRA studies with a source of data on maintainers that has previously not existed.

  19. PHARAO laser source flight model: Design and performances

    SciTech Connect (OSTI)

    Lévèque, T. Faure, B.; Esnault, F. X.; Delaroche, C.; Massonnet, D.; Grosjean, O.; Buffe, F.; Torresi, P.; Bomer, T.; Pichon, A.; Béraud, P.; Lelay, J. P.; Thomin, S.; Laurent, Ph.

    2015-03-15

    In this paper, we describe the design and the main performances of the PHARAO laser source flight model. PHARAO is a laser cooled cesium clock specially designed for operation in space and the laser source is one of the main sub-systems. The flight model presented in this work is the first remote-controlled laser system designed for spaceborne cold atom manipulation. The main challenges arise from mechanical compatibility with space constraints, which impose a high level of compactness, a low electric power consumption, a wide range of operating temperature, and a vacuum environment. We describe the main functions of the laser source and give an overview of the main technologies developed for this instrument. We present some results of the qualification process. The characteristics of the laser source flight model, and their impact on the clock performances, have been verified in operational conditions.

  20. A New Model to Simulate Energy Performance of VRF Systems

    SciTech Connect (OSTI)

    Hong, Tianzhen; Pang, Xiufeng; Schetrit, Oren; Wang, Liping; Kasahara, Shinichi; Yura, Yoshinori; Hinokuma, Ryohei

    2014-03-30

    This paper presents a new model to simulate energy performance of variable refrigerant flow (VRF) systems in heat pump operation mode (either cooling or heating is provided but not simultaneously). The main improvement of the new model is the introduction of the evaporating and condensing temperature in the indoor and outdoor unit capacity modifier functions. The independent variables in the capacity modifier functions of the existing VRF model in EnergyPlus are mainly room wet-bulb temperature and outdoor dry-bulb temperature in cooling mode and room dry-bulb temperature and outdoor wet-bulb temperature in heating mode. The new approach allows compliance with different specifications of each indoor unit so that the modeling accuracy is improved. The new VRF model was implemented in a custom version of EnergyPlus 7.2. This paper first describes the algorithm for the new VRF model, which is then used to simulate the energy performance of a VRF system in a Prototype House in California that complies with the requirements of Title 24 ? the California Building Energy Efficiency Standards. The VRF system performance is then compared with three other types of HVAC systems: the Title 24-2005 Baseline system, the traditional High Efficiency system, and the EnergyStar Heat Pump system in three typical California climates: Sunnyvale, Pasadena and Fresno. Calculated energy savings from the VRF systems are significant. The HVAC site energy savings range from 51 to 85percent, while the TDV (Time Dependent Valuation) energy savings range from 31 to 66percent compared to the Title 24 Baseline Systems across the three climates. The largest energy savings are in Fresno climate followed by Sunnyvale and Pasadena. The paper discusses various characteristics of the VRF systems contributing to the energy savings. It should be noted that these savings are calculated using the Title 24 prototype House D under standard operating conditions. Actual performance of the VRF systems for real

  1. Performance and Optimization

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Optimization Performance and Optimization Running Jobs Efficiently This page defines job efficiency and how to measure the efficiency of your jobs. Read More » PDSF IO Monitoring Plots of continuous IO monitoring for the eliza file systems and project. Read More » Last edited: 2016-04-29 11:35:20

  2. Instruction-level performance modeling and characterization of multimedia applications

    SciTech Connect (OSTI)

    Luo, Y.; Cameron, K.W.

    1999-06-01

    One of the challenges for characterizing and modeling realistic multimedia applications is the lack of access to source codes. On-chip performance counters effectively resolve this problem by monitoring run-time behaviors at the instruction-level. This paper presents a novel technique of characterizing and modeling workloads at the instruction level for realistic multimedia applications using hardware performance counters. A variety of instruction counts are collected from some multimedia applications, such as RealPlayer, GSM Vocoder, MPEG encoder/decoder, and speech synthesizer. These instruction counts can be used to form a set of abstract characteristic parameters directly related to a processor`s architectural features. Based on microprocessor architectural constraints and these calculated abstract parameters, the architectural performance bottleneck for a specific application can be estimated. Meanwhile, the bottleneck estimation can provide suggestions about viable architectural/functional improvement for certain workloads. The biggest advantage of this new characterization technique is a better understanding of processor utilization efficiency and architectural bottleneck for each application. This technique also provides predictive insight of future architectural enhancements and their affect on current codes. In this paper the authors also attempt to model architectural effect on processor utilization without memory influence. They derive formulas for calculating CPI{sub 0}, CPI without memory effect, and they quantify utilization of architectural parameters. These equations are architecturally diagnostic and predictive in nature. Results provide promise in code characterization, and empirical/analytical modeling.

  3. Correlation between human observer performance and model observer performance in differential phase contrast CT

    SciTech Connect (OSTI)

    Li, Ke; Garrett, John; Chen, Guang-Hong

    2013-11-15

    Purpose: With the recently expanding interest and developments in x-ray differential phase contrast CT (DPC-CT), the evaluation of its task-specific detection performance and comparison with the corresponding absorption CT under a given radiation dose constraint become increasingly important. Mathematical model observers are often used to quantify the performance of imaging systems, but their correlations with actual human observers need to be confirmed for each new imaging method. This work is an investigation of the effects of stochastic DPC-CT noise on the correlation of detection performance between model and human observers with signal-known-exactly (SKE) detection tasks.Methods: The detectabilities of different objects (five disks with different diameters and two breast lesion masses) embedded in an experimental DPC-CT noise background were assessed using both model and human observers. The detectability of the disk and lesion signals was then measured using five types of model observers including the prewhitening ideal observer, the nonprewhitening (NPW) observer, the nonprewhitening observer with eye filter and internal noise (NPWEi), the prewhitening observer with eye filter and internal noise (PWEi), and the channelized Hotelling observer (CHO). The same objects were also evaluated by four human observers using the two-alternative forced choice method. The results from the model observer experiment were quantitatively compared to the human observer results to assess the correlation between the two techniques.Results: The contrast-to-detail (CD) curve generated by the human observers for the disk-detection experiments shows that the required contrast to detect a disk is inversely proportional to the square root of the disk size. Based on the CD curves, the ideal and NPW observers tend to systematically overestimate the performance of the human observers. The NPWEi and PWEi observers did not predict human performance well either, as the slopes of their CD

  4. Theoretical Division Current Job Openings

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    PADSTE » ADTSC » T » Job Openings Theoretical Division Job Openings Explore the multiple dimensions of a career at Los Alamos Lab: work with the best minds on the planet in an inclusive environment that is rich in intellectual vitality and opportunities for growth. Click in the Job Number to be directed to the description/application page. Postdoc Positions IRC50385 Staff Scientist: Material Informatics IRC50253 Staff scientist: Quantum Information and Quantum Physics IRC49276 Theoretical and

  5. Billboard: Stay on the job | Y-12 National Security Complex

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Stay on the job Billboard: Stay on the job 105,000 casualties so far. Stay on the job

  6. AEETES---A solar reflux receiver thermal performance numerical model

    SciTech Connect (OSTI)

    Hogan, R.E. Jr.

    1991-01-01

    Reflux solar receivers for dish-Stirling electric power generation systems are currently being investigated by several companies and laboratories. In support of these efforts, the AEETES thermal performance numerical model has been developed to predict thermal performance of pool-boiler and heat-pipe reflux receivers. The formulation of the AEETES numerical model, which is applicable to axisymmetric geometries with asymmetric incident fluxes, is presented in detail. Thermal efficiency predictions agree to within 4.1% with test data from on-sun tests of a pool-boiler reflux receiver. Predicted absorber and sidewall temperatures agree with thermocouple data to within 3.3.% and 7.3%, respectively. The importance of accounting for the asymmetric incident fluxes is demonstrated in comparisons with predictions using azimuthally averaged variables. The predicted receiver heat losses are characterized in terms of convective, solar and infrared radiative, and conductive heat transfer mechanisms. 27 refs., 9 figs., 4 tabs.

  7. USA Jobs - Working for America

    SciTech Connect (OSTI)

    2010-01-15

    This document provides information about federal jobs for the college graduate. This document was produced by the Office of Personnel Management (OPM).

  8. jobs | National Nuclear Security Administration

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    jobs Human Resources The Human Resources function in NNSA is a vital partnership between all levels of NNSA management. It requires effective collaboration with the Service ...

  9. Duct thermal performance models for large commercial buildings

    SciTech Connect (OSTI)

    Wray, Craig P.

    2003-10-01

    Despite the potential for significant energy savings by reducing duct leakage or other thermal losses from duct systems in large commercial buildings, California Title 24 has no provisions to credit energy-efficient duct systems in these buildings. A substantial reason is the lack of readily available simulation tools to demonstrate the energy-saving benefits associated with efficient duct systems in large commercial buildings. The overall goal of the Efficient Distribution Systems (EDS) project within the PIER High Performance Commercial Building Systems Program is to bridge the gaps in current duct thermal performance modeling capabilities, and to expand our understanding of duct thermal performance in California large commercial buildings. As steps toward this goal, our strategy in the EDS project involves two parts: (1) developing a whole-building energy simulation approach for analyzing duct thermal performance in large commercial buildings, and (2) using the tool to identify the energy impacts of duct leakage in California large commercial buildings, in support of future recommendations to address duct performance in the Title 24 Energy Efficiency Standards for Nonresidential Buildings. The specific technical objectives for the EDS project were to: (1) Identify a near-term whole-building energy simulation approach that can be used in the impacts analysis task of this project (see Objective 3), with little or no modification. A secondary objective is to recommend how to proceed with long-term development of an improved compliance tool for Title 24 that addresses duct thermal performance. (2) Develop an Alternative Calculation Method (ACM) change proposal to include a new metric for thermal distribution system efficiency in the reporting requirements for the 2005 Title 24 Standards. The metric will facilitate future comparisons of different system types using a common ''yardstick''. (3) Using the selected near-term simulation approach, assess the impacts of

  10. Optimization and Performance Modeling of Stencil Computations on Modern Microprocessors

    SciTech Connect (OSTI)

    Datta, Kaushik; Kamil, Shoaib; Williams, Samuel; Oliker, Leonid; Shalf, John; Yelick, Katherine

    2007-06-01

    Stencil-based kernels constitute the core of many important scientific applications on blockstructured grids. Unfortunately, these codes achieve a low fraction of peak performance, due primarily to the disparity between processor and main memory speeds. In this paper, we explore the impact of trends in memory subsystems on a variety of stencil optimization techniques and develop performance models to analytically guide our optimizations. Our work targets cache reuse methodologies across single and multiple stencil sweeps, examining cache-aware algorithms as well as cache-oblivious techniques on the Intel Itanium2, AMD Opteron, and IBM Power5. Additionally, we consider stencil computations on the heterogeneous multicore design of the Cell processor, a machine with an explicitly managed memory hierarchy. Overall our work represents one of the most extensive analyses of stencil optimizations and performance modeling to date. Results demonstrate that recent trends in memory system organization have reduced the efficacy of traditional cache-blocking optimizations. We also show that a cache-aware implementation is significantly faster than a cache-oblivious approach, while the explicitly managed memory on Cell enables the highest overall efficiency: Cell attains 88% of algorithmic peak while the best competing cache-based processor achieves only 54% of algorithmic peak performance.