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Title: Oak Ridge Leadership Computing Facility (OLCF)

The Oak Ridge Leadership Computing Facility (OLCF) was established at Oak Ridge National Laboratory in 2004 with the mission of accelerating scientific discovery and engineering progress by providing outstanding computing and data management resources to high-priority research and development projects. OLCF unveiled Titan in 2013, which is capable of 27 petaflops. Titan is one of the first hybrid architecture systems—a combination of graphics processing units (GPUs), and the more conventional central processing units (CPUs) that have served as number crunchers in computers for decades. The OLCF gives the world’s most advanced computational researchers an opportunity to tackle problems that would be unthinkable on other systems. The DOI Portal can be found at https://doi.ccs.ornl.gov/.
Product Type:
Project
Project Lead:
 [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Research Org(s):
Oak Ridge Leadership Computing Facility (OLCF), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Geolocation:
-84.306185,35.924878
Subject:
97 MATHEMATICS AND COMPUTING; 59 BASIC BIOLOGICAL SCIENCES; 60 APPLIED LIFE SCIENCES; high performance computing; HPC; supercomputing; scientific computing; titan; summit; scientific workflow; visualization; storage systems; parallel file systems
OSTI Identifier:
1375446
Project Location:
Oak Ridge, TN
No associated Collections found.
  1. This dataset presents measurements that quantify the clock synchronization time-agreement characteristics among several high performance computers including the current world's most powerful machine for open science, the U.S. Department of Energy's Titan machine sited at Oak Ridge National Laboratory. These ultra-fast machines derive much of their computational capability from extreme node counts (over 18000 nodes in the case of the Titan machine). Time-agreement is commonly utilized by parallel programming applications and tools, distributed programming application and tools, and system software. Our time-agreement measurements detail the degree of time variance between nodes and how that variance changes over time. The datasetmore » includes empirical measurements and the accompanying spreadsheets. « less
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    DOE Contract Number:
    AC05-00OR22725
    Publication Date:
    Research Org:
    ORNL-OLCF (Oak Ridge Leadership Computing Facility, Oak Ridge National Laboratory, Oak Ridge, TN)
    Sponsoring Org:
    USDOE Office of Science (SC)
  2. This provides a benchmark dataset from the regression test suite in CISM meant to be used for comparison with LIVVkit 2.0.0.
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    DOE Contract Number:
    AC05-00OR22725
    Publication Date:
    Research Org:
    Oak Ridge Leadership Computing Facility; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
    Sponsoring Org:
    Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
  3. The cleaned bench testing reconstructions for the gold166 datasets have been put online at github https://github.com/BigNeuron/Events-and-News/wiki/BigNeuron-Events-and-News https://github.com/BigNeuron/Data/releases/tag/gold166_bt_v1.0 The respective image datasets were released a while ago from other sites (major pointer is available at github as well https://github.com/BigNeuron/Data/releases/tag/Gold166_v1 but since the files were big, the actual downloading was distributed at 3 continents separately)
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    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Oak Ridge Leadership Computing Facility; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Allen Institute for Brain Science
    Sponsoring Org:
    International Neuroinformatics Coordinating Facility
  4. This data set consists of molecular dynamics simulations based flexibility/dynamics derived for family members of pancreatic ribonucleases. The results are based on two independent 0.5 microsecond trajectories for each of the 23 members. The flexibility is computed at aggregation of first ten quasi-harmonic modes, and indicated in the temperature factor column of PDB (protein data bank) file format.
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    Publication Date:
    Research Org:
    ORNL-OLCF (Oak Ridge Leadership Computing Facility); University of Tennessee, Knoxville
    Sponsoring Org:
    USDOE Office of Science (SC); U.S. National Institutes of Health (NIH), National Institute of General Medical Sciences (NIGMS)
  5. The data set consists of a 3-D fully kinetic (VPIC) simulation of an in-situ observation event at the Earth's magnetopause by the NASA MMS spacecraft on September 8, 2015. The results show a turbulent development of magnetic reconnection induced by the Kelvin-Helmohltz vortex, and resulting significantly efficient plasma mixing across the magnetopause. The vortex-induced reconnection signatures are well consistent with the MMS observations. These results are published in some scientific journals such as Nature Communications. Fortran unformatted files with 1024x1536x512 cells, which have been compressed from original ones with 2048x3072x1024 cells, are archived for selected time slices of field andmore » moment data shown in these papers. « less
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    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Oak Ridge Leadership Computing Facility; Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Austrian Academy of Sciences
    Sponsoring Org:
    Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
  6. Spectroscopic measurements of current-voltage curves in scanning probe microscopy is the earliest and one of the most common methods for characterizing local energy-dependent electronic properties, providing insight into superconductive, semiconductor, and memristive behaviors. However, the quasistatic nature of these measurements renders them extremely slow. Here, we demonstrate a fundamentally new approach for dynamic spectroscopic current imaging via full information capture and Bayesian inference analysis. This "general-mode I-V"method allows three orders of magnitude faster rates than presently possible. The technique is demonstrated by acquiring I-V curves in ferroelectric nanocapacitors, yielding >100,000 I-V curves in <20 minutes. This allows detection of switchingmore » currents in the nanoscale capacitors, as well as determination of dielectric constant. These experiments show the potential for the use of full information capture and Bayesian inference towards extracting physics from rapid I-V measurements, and can be used for transport measurements in both atomic force and scanning tunneling microscopy. The data was analyzed using pycroscopy - an open-source python package available at https://github.com/pycroscopy/pycroscopy « less
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    DOE Contract Number:
    DEAC0500OR22725
    Publication Date:
    Research Org:
    Oak Ridge Leadership Computing Facility; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
    Sponsoring Org:
    USDOE Office of Science (SC)
  7. This dataset includes genetic variations found in 882 poplar trees, and provides useful information to scientists studying plants as well as researchers more generally in the fields of biofuels, materials science, and secondary plant compounds. For nearly 10 years, researchers with DOE’s BioEnergy Science Center (BESC), a multi-institutional organization headquartered at ORNL, have studied the genome of Populus — a fast-growing perennial tree recognized for its economic potential in biofuels production. This Genome-Wide Association Study (GWAS) dataset includes more than 28 million single nucleotide polymorphisms, or SNPs that have been derived from 17 trillion bases of sequence data generated frommore » 882 undomesticated Populus genotypes. Each SNP represents a variation in a single DNA nucleotide, or building block, that can act as a biological marker and/or causal allele within a protein sequence, helping scientists locate genes associated with certain characteristics, conditions or diseases. The results of this analysis have been used, among other things, to 1) seek genetic control of cell-wall recalcitrance — a natural characteristic of plant cell walls that prevent the release of sugars under microbial conversion and restricts biofuels production and 2) identify the molecular mechanisms controlling deposition of lignin in plant structures. Lignin is a polyphenolic polymer that strengthens plant cell walls and acts as a barrier to microbial access to cellulose during saccharfication — the process of breaking cellulose down into simple sugars for fermentation. Although the dataset’s most immediate applications are in fundamental plant sciences, ORNL researchers plan to use the GWAS data to inform applied work in areas such as cleaner, sustainable transportation biofuels, carbon fiber for lightweight vehicles and alternatives to conventional plastics and building insulation materials. « less
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    DOE Contract Number:
    DE-AC05-00OR22725
    Publication Date:
    Research Org:
    Oak Ridge Leadership Computing Facility; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
    Sponsoring Org:
    Office of Science (SC), Biological and Environmental Research (BER) (SC-23); Center for Bioenergy Innovation (CBI)
  8. Dataset containing the raw data and results from analyses, along with supporting Jupyter notebook that shows the processing of data in the following paper: Big Data Analytics for Scanning Transmission Electron Microscopy Ptychography S. Jesse, M. Chi, A. Belianinov, C. Beekman, S. V. Kalinin, A. Y. Borisevich & A. R. Lupini Scientific Reports volume 6, Article number: 26348 (2016) https://www.nature.com/articles/srep26348
    View Dataset
    DOE Contract Number:
    DEAC0500OR22725
    Publication Date:
    Research Org:
    Oak Ridge Leadership Computing Facility; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
    Sponsoring Org:
    Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
  9. Datasets (raw data, intermediate results, and final results) and Jupyter notebooks as part of the following journal publication: Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging Suhas Somnath, Christopher R. Smith, Sergei V. Kalinin, Miaofang Chi, Albina Borisevich, Nicholas Cross, Gerd Duscher and Stephen Jesse Advanced Structural and Chemical Imaging, 2018, 4:3 https://doi.org/10.1186/s40679-018-0052-y
    View Dataset
    DOE Contract Number:
    DEAC0500OR22725
    Publication Date:
    Research Org:
    Oak Ridge Leadership Computing Facility; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
    Sponsoring Org:
    Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
  10. Raw measurement data corresponding to the following journal publication: Full information acquisition in piezoresponse force microscopy Suhas Somnath, Alexei Belianinov, Sergei V. Kalinin, and Stephen Jesse Appl. Phys. Lett. 107, 263102 (2016); https://doi.org/10.1063/1.4938482
    View Dataset
    DOE Contract Number:
    DEAC0500OR22725
    Publication Date:
    Research Org:
    Oak Ridge Leadership Computing Facility; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
    Sponsoring Org:
    Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
  11. Raw data, intermediate results, and Jupyter notebook used in the following journal publication: Rapid mapping of polarization switching through complete information acquisition Suhas Somnath, Alex Belianinov, Sergei V. Kalinin & Stephen Jesse Nature Communications volume 7, Article number: 13290 (2016) doi: 10.1038/ncomms13290
    View Dataset
    DOE Contract Number:
    DEAC0500OR22725
    Publication Date:
    Research Org:
    Oak Ridge Leadership Computing Facility; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
    Sponsoring Org:
    Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)