Benchmarking Energy Efficiency, Power Costs and Carbon Emissions on Heterogeneous Systems

被引：25

作者：

McIntosh-Smith, Simon ^{[1
]}

Wilson, Terry ^{[1
]}

Ibarra, Amaurys Avila ^{[2
]}

Crisp, Jonathan ^{[2
]}

Sessions, Richard B. ^{[2
]}

机构：

[1] Univ Bristol, Dept Comp Sci, Bristol BS8 1UB, Avon, England

[2] Univ Bristol, Sch Biochem, Bristol BS8 1TD, Avon, England

来源：

COMPUTER JOURNAL | 2012年 / 55卷 / 02期

基金：

英国生物技术与生命科学研究理事会;

关键词：

heterogeneous computing; GPGPU; benchmarking; energy aware software; energy efficiency; OpenCL; molecular docking; carbon emissions;

D O I：

10.1093/comjnl/bxr091

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the advent of heterogeneous computing systems consisting of multi-core central processing units (CPUs) and many-core graphics processing units (GPUs), robust methods are needed to facilitate fair benchmark comparisons between different systems. In this paper, we present a benchmarking methodology for measuring a number of performance metrics for heterogeneous systems. Methods for comparing performance and energy efficiency are included. Consideration is given to further metrics, such as associated running costs and carbon emissions. We give a case study for these metrics applied to Bristol University Docking engine, a molecular mechanics-based docking application that has been ported to open computing language at the University of Bristol. Results are included for both AMD and NVIDIA GPUs, and for a highly optimized code on the latest x86 CPUs.

引用

页码：192 / 205

页数：14

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