A Survey of Methods for Analyzing and Improving GPU Energy Efficiency

Author:

Mittal Sparsh1,Vetter Jeffrey S.2

Affiliation:

1. Iowa State University

2. Oak Ridge National Laboratory and Georgia Tech

Abstract

Recent years have witnessed phenomenal growth in the computational capabilities and applications of GPUs. However, this trend has also led to a dramatic increase in their power consumption. This article surveys research works on analyzing and improving energy efficiency of GPUs. It also provides a classification of these techniques on the basis of their main research idea. Further, it attempts to synthesize research works that compare the energy efficiency of GPUs with other computing systems (e.g., FPGAs and CPUs). The aim of this survey is to provide researchers with knowledge of the state of the art in GPU power management and motivate them to architect highly energy-efficient GPUs of tomorrow.

Funder

Iowa State University

Office of Advanced Scientific Computing Research in the U.S. Department of Energy

UT-Battelle, LLC under Contract #DE-AC05-00OR22725 to the U.S. government

Oak Ridge National Laboratory

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

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