DocumentCode
1505569
Title
Energy-Efficient Hardware Data Prefetching
Author
Guo, Yao ; Narayanan, Pritish ; Bennaser, Mahmoud Abdullah ; Chheda, Saurabh ; Moritz, Csaba Andras
Author_Institution
Key Lab. of High-Confidence Software Technol., Peking Univ., Beijing, China
Volume
19
Issue
2
fYear
2011
Firstpage
250
Lastpage
263
Abstract
Extensive research has been done in prefetching techniques that hide memory latency in microprocessors leading to performance improvements. However, the energy aspect of prefetching is relatively unknown. While aggressive prefetching techniques often help to improve performance, they increase energy consumption by as much as 30% in the memory system. This paper provides a detailed evaluation on the energy impact of hardware data prefetching and then presents a set of new energy-aware techniques to overcome prefetching energy overhead of such schemes. These include compiler-assisted and hardware-based energy-aware techniques and a new power-aware prefetch engine that can reduce hardware prefetching related energy consumption by 7-11 ×. Combined with the effect of leakage energy reduction due to performance improvement, the total energy consumption for the memory system after the application of these techniques can be up to 12% less than the baseline with no prefetching.
Keywords
microprocessor chips; storage management; energy-efficient hardware data prefetching; hardware-based energy-aware techniques; leakage energy reduction; memory latency; microprocessors; total energy consumption; Compiler analysis; data prefetching; energy efficiency; prefetch filtering; prefetch hardware;
fLanguage
English
Journal_Title
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-8210
Type
jour
DOI
10.1109/TVLSI.2009.2032916
Filename
5291706
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