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

Journal Article · · Journal of Parallel and Distributed Computing
 [1];  [1];  [1];  [2]
  1. Wayne State Univ., Detroit, MI (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
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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.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
Sponsoring Organization:
USDOE Office of Science (SC); National Science Foundation (NSF)
Grant/Contract Number:
AC05-00OR22725; CNS-1205338
OSTI ID:
1261493
Alternate ID(s):
OSTI ID: 1359446
Journal Information:
Journal of Parallel and Distributed Computing, Vol. 87, Issue C; ISSN 0743-7315
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 7 works
Citation information provided by
Web of Science

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Dynamic Voltage Frequency Scaling Simulator for Real Workflows Energy-Aware Management in Green Cloud Computing journal January 2017

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Related Subjects

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