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2005
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Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters

10 years 7 months ago
Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters
Left unchecked, the fundamental drive to increase peak performance using tens of thousands of power hungry components will lead to intolerable operating costs and failure rates. High-performance, power-aware distributed computing reduces power and energy consumption of distributed applications and systems without sacrificing performance. Generally, we use DVS (Dynamic Voltage Scaling) technology now available in high-performance microprocessors to reduce power consumption during parallel application runs when peak CPU performance is not necessary due to load imbalance, communication delays, etc. We propose distributed performance-directed DVS scheduling strategies for use in scalable power-aware HPC clusters. By varying scheduling granularity we can obtain significant energy savings without increasing execution time (36% for FT from NAS PB). We created a software framework to implement and evaluate our various techniques and show performance-directed scheduling consistently saves more...
Rong Ge, Xizhou Feng, Kirk W. Cameron
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where SC
Authors Rong Ge, Xizhou Feng, Kirk W. Cameron
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