Reducing Overheating-Induced Failures Via Performance-Aware CPU Power Management.
Chung‐Hsing Hsu, Wu-chun Feng · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2005
Abstract. Cluster end-users and administrators have become more cog-nizant of the fact that large-scale commodity clusters fail quite fre-quently, and the main source of these failures is hardware (e.g., pro-cessors) with the primary cause being heat. This situation is expected to worsen with even larger-scale clusters powered by faster (and/or multi-core) processors. In this paper, we propose a power-management algo-rithm that addresses heat-related reliability for processors by control-ling their clock speeds in a performance-aware manner. This approach is complementary to existing approaches such as exotic cooling and fault-tolerant technologies in that it proactively deals with power and cooling issues before they become a problem. Our preliminary experimental work demonstrates that our approach can easily be applied commodity pro-cessors and can reduce heat generation by 30 % on average with minimal effect on performance when running the SPEC benchmarks. 1