Application configuration selection for energy-efficient execution on multicore systems

Wang, Shinan; Luo, Bing; Shi, Weisong; Tiwari, Devesh

doi:10.1016/j.jpdc.2015.09.003

Title: Application configuration selection for energy-efficient execution on multicore systems

Journal Article · Mon Sep 21 04:00:00 UTC 2015 · Journal of Parallel and Distributed Computing

DOI: https://doi.org/10.1016/j.jpdc.2015.09.003 · OSTI ID:1261493

Wang, Shinan ^[1]; Luo, Bing ^[1]; Shi, Weisong ^[1]; Tiwari, Devesh ^[2]

Wayne State Univ., Detroit, MI (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Balanced performance and energy consumption are incorporated in the design of modern computer systems. Several runtime factors, such as concurrency levels, thread mapping strategies, and dynamic voltage and frequency scaling (DVFS) should be considered in order to achieve optimal energy efficiency fora workload. Selecting appropriate run-time factors, however, is one of the most challenging tasks because the run-time factors are architecture-specific and workload-specific. And while most existing works concentrate on either static analysis of the workload or run-time prediction results, we present a hybrid two-step method that utilizes concurrency levels and DVFS settings to achieve the energy efficiency configuration for a worldoad. The experimental results based on a Xeon E5620 server with NPB and PARSEC benchmark suites show that the model is able to predict the energy efficient configuration accurately. On average, an additional 10% EDP (Energy Delay Product) saving is obtained by using run-time DVFS for the entire system. An off-line optimal solution is used to compare with the proposed scheme. Finally, the experimental results show that the average extra EDP saved by the optimal solution is within 5% on selective parallel benchmarks.

View Accepted Manuscript (DOE)

Cite

Export

Save

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: DOE Office of Science; USDOE; National Science Foundation (NSF)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1261493

Journal Information:: Journal of Parallel and Distributed Computing, Journal Name: Journal of Parallel and Distributed Computing Journal Issue: C Vol. 87; ISSN 0743-7315

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (14)

SPAN: A software power analyzer for multicore computer systems Wang, Shinan; Chen, Hui; Shi, Weisong Sustainable Computing: Informatics and Systems, Vol. 1, Issue 1 https://doi.org/10.1016/j.suscom.2010.10.002	journal	March 2011
Process variation aware thread mapping for Chip Multiprocessors Hong, S.; Narayanan, S. H. K.; Kandemir, M. 2009 Design, Automation & Test in Europe Conference & Exhibition (DATE'09) https://doi.org/10.1109/DATE.2009.5090776	conference	April 2009
Portable, scalable, per-core power estimation for intelligent resource management Goel, Bhavishya; McKee, Sally A.; Gioiosa, Roberto 2010 International Conference on Green Computing (Green Comp) https://doi.org/10.1109/GREENCOMP.2010.5598313	conference	August 2010
SolarCore: Solar energy driven multi-core architecture power management Li, Chao; Zhang, Wangyuan; Cho, Chang-Burm 2011 IEEE 17th International Symposium on High Performance Computer Architecture (HPCA) https://doi.org/10.1109/HPCA.2011.5749729	conference	February 2011
A machine learning-based approach for thread mapping on transactional memory applications Castro, Marcio; Goes, Luis Fabricio Wanderley; Ribeiro, Christiane Pousa 2011 18th International Conference on High Performance Computing (HiPC) https://doi.org/10.1109/HiPC.2011.6152736	conference	December 2011
Green governors: A framework for Continuously Adaptive DVFS Spiliopoulos, Vasileios; Kaxiras, Stefanos; Keramidas, Georgios 2011 International Green Computing Conference (IGCC), 2011 International Green Computing Conference and Workshops https://doi.org/10.1109/IGCC.2011.6008552	conference	July 2011
Power-Aware Speedup Ge, Rong; Cameron, Kirk W. 2007 IEEE International Parallel and Distributed Processing Symposium https://doi.org/10.1109/IPDPS.2007.370246	conference	March 2007
Modeling and evaluating energy-performance efficiency of parallel processing on multicore based power aware systems Ge, Rong; Feng, Xizhou; Cameron, Kirk W. Distributed Processing (IPDPS), 2009 IEEE International Symposium on Parallel & Distributed Processing https://doi.org/10.1109/IPDPS.2009.5160979	conference	May 2009
Predicting Potential Speedup of Serial Code via Lightweight Profiling and Emulations with Memory Performance Model Kim, Minjang; Kumar, Pranith; Kim, Hyesoon 2012 IEEE International Symposium on Parallel & Distributed Processing (IPDPS), 2012 IEEE 26th International Parallel and Distributed Processing Symposium https://doi.org/10.1109/IPDPS.2012.128	conference	May 2012
Live, Runtime Phase Monitoring and Prediction on Real Systems with Application to Dynamic Power Management Isci, Canturk; Contreras, Gilberto; Martonosi, Margaret 2006 39th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO'06) https://doi.org/10.1109/MICRO.2006.30	conference	December 2006
Extending Amdahl's law in the multicore era Yao, Erlin; Bao, Yungang; Tan, Guangming ACM SIGMETRICS Performance Evaluation Review, Vol. 37, Issue 2 https://doi.org/10.1145/1639562.1639571	journal	October 2009
Power challenges may end the multicore era Esmaeilzadeh, Hadi; Blem, Emily; Amant, Renée St. Communications of the ACM, Vol. 56, Issue 2 https://doi.org/10.1145/2408776.2408797	journal	February 2013
The effect of state-saving in optimistic simulation on a cache-coherent non-uniform memory access architecture Carothers, Christopher D.; Perumalla, Kalyan S.; Fujimoto, Richard M. Proceedings of the 31st conference on Winter simulation Simulation---a bridge to the future - WSC '99 https://doi.org/10.1145/324898.325340	conference	January 1999
Run-time modeling and estimation of operating system power consumption Li, Tao; John, Lizy Kurian ACM SIGMETRICS Performance Evaluation Review, Vol. 31, Issue 1 https://doi.org/10.1145/885651.781048	journal	June 2003

Cited By (2)

Dynamic Voltage Frequency Scaling Simulator for Real Workflows Energy-Aware Management in Green Cloud Computing Cotes-Ruiz, Iván Tomás; Prado, Rocío P.; García-Galán, Sebastián PLOS ONE, Vol. 12, Issue 1 https://doi.org/10.1371/journal.pone.0169803	journal	January 2017
Dynamic Voltage Frequency Scaling Simulator for Real Workflows Energy-Aware Management in Green Cloud Computing Cotes-Ruiz, Iván Tomás; Prado, Rocío P.; García-Galán, Sebastián PLOS ONE, Vol. 12, Issue 1 https://doi.org/10.1371/journal.pone.0169803	journal	January 2017

Similar Records

Static and Dynamic Frequency Scaling on Multicore CPUs

Journal Article · Wed Dec 28 04:00:00 UTC 2016 · ACM Transactions on Architecture and Code Optimization · OSTI ID:1344646

Bao, Wenlei; Hong, Changwan; Chunduri, Sudheer; +4 more

An automated and portable method for selecting an optimal GPU frequency

Journal Article · Mon Jul 17 04:00:00 UTC 2023 · Future Generations Computer Systems · OSTI ID:2475335

Ali, Ghazanfar; Side, Mert; Bhalachandra, Sridutt; +2 more

Strategies for Energy Efficient Resource Management of Hybrid Programming Models

Journal Article · Tue Jan 01 04:00:00 UTC 2013 · IEEE Transactions on Parallel and Distributed Systems · OSTI ID:1048160

Li, Dong; Supinski, Bronis de; Schulz, Martin; +2 more

Related Subjects

97 MATHEMATICS AND COMPUTING
Energy consumption
High performance computing
PERFORMANCE
POWER MANAGEMENT
Parallel
Power model
Speedup model

Title: Application configuration selection for energy-efficient execution on multicore systems

Citation Formats

References (14)

Cited By (2)

Similar Records

Related Subjects