Power-Directed Software Prefetching Algorithm with Dynamic Voltage Scaling

Authors:
Juan Chen;Yong Dong;Huizhan Yi;Xuejun Yang
Affiliations:
School of Computer, National University of Defense Technology, P. R. China;School of Computer, National University of Defense Technology, P. R. China;School of Computer, National University of Defense Technology, P. R. China;School of Computer, National University of Defense Technology, P. R. China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Year:
2007

Citing 2
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Tolerating latency through software-controlled data prefetching

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Wattch: a framework for architectural-level power analysis and optimizations

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Abstract

We first demonstrate software prefetching provides an average 66.28% performance enhancement with much higher average power on six memory-intensive benchmarks. Then we propose a power-directed software prefetching algorithm with dynamic voltage scaling (PDP-DVS) that monitors a system's power and adapts the voltage level accordingly to guarantee no power increase while maintaining good performance boost. Our PDP-DVSalgorithm achieves a 35.75% performance gain with only 1.19% power increase.