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Controlling leakage power with the replacement policy in slumberous caches
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Source Conference On Computing Frontiers archive
Proceedings of the 2nd conference on Computing frontiers table of contents
Ischia, Italy
SESSION: Track 3: high performance embedded architectures (part 1) table of contents
Pages: 161 - 170  
Year of Publication: 2005
ISBN:1-59593-019-1
Authors
Nasir Mohyuddin  University of Southern California, Los Angeles, CA
Rashed Bhatti  University of Southern California, Los Angeles, CA
Michel Dubois  University of Southern California, Los Angeles, CA
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 19,   Citation Count: 2
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ABSTRACT

As technology scales down at an exponential rate, leakage power is fast becoming the dominant component of the total power budget. A large share of the total leakage power is dissipated in the cache hierarchy. To reduce cache leakage, individual cache lines can be kept in drowsy mode, a low voltage, low leakage state. Every cache access may then result in dynamic power consumption and performance penalties. A trade-off between the amount of leakage power saved on one hand, and the impact on dynamic power and performance on the other hand must be reachedTo affect this trade-off, we introduce "slumberous caches" in which the power level of cache lines is controlled with the cache replacement policy. In a slumberous cache, cache lines are maintained at different power save modes which we call "tranquility levels", which depend on their order of replacement priorities.We evaluate the trade-offs in the context of PLRU, a common cache replacement algorithm. We explore various assignments of the tranquility levels to lines and compare overall power and performance impacts. As technology scales down, the dynamic power required to energize slumberous cache lines drops drastically while the leakage power savings remain roughly steady. The performance penalty--in cycles-- remains constant with technology scaling for each scheme we evaluate.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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S. Dropsho et al. Managing Static Leakage Energy in Microprocessor Functional Units.
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The international technology roadmap for semiconductors. Semiconductor Industry Association, 2002. http://public.itrs.net/Files/2002Update/2002Update.htm
 
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The Standard Performance Evaluation Corporation. WWW Site. http://www.spec.org, Dec. 2000.
 
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Collaborative Colleagues:
Nasir Mohyuddin: colleagues
Rashed Bhatti: colleagues
Michel Dubois: colleagues