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On the energy-efficiency of speculative hardware
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Proceedings of the 2nd conference on Computing frontiers table of contents
Ischia, Italy
SESSION: Track 12: temperature, energy, and complexity-aware designs table of contents
Pages: 361 - 370  
Year of Publication: 2005
ISBN:1-59593-019-1
Authors
Nana B. Sam  Cornell University, Ithaca, NY
Martin Burtscher  Cornell University, Ithaca, NY
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Microprocessor trends are moving towards wider architectures and more aggressive speculation. With the increasing transistor budgets, energy consumption has become a critical design constraint. To address this problem, several researchers have proposed and evaluated energy-efficient variants of speculation mechanisms. However, such hardware is typically evaluated in isolation and its impact on the energy consumption of the rest of the processor, for example, due to wrong-path executions, is ignored. Moreover, the available metrics that would provide a thorough evaluation of an architectural optimization employ somewhat complicated formulas with hard-to-measure parametersIn this paper, we introduce a simple method to accurately compare the energy-efficiency of speculative architectures. Our metric is based on runtime analysis of the entire processor chip and thus captures the energy consumption due to the positive as well as the negative activities that arise from the speculation activities. We demonstrate the usefulness of our metric on the example of value speculation, where we found some proposed value predictors, including low-power designs, not to be energy-efficient


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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F. Gabbay. Speculative Execution Based on Value Prediction. Technical Report 1080, Department of Electrical Engineering, Technion-Israel Institute of Technology, 1996.
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R. Gonzalez, M. Horowitz. Energy Dissipation in General Purpose Microprocessors. IEEE Journal of Solid-State Circuits, 1996, pp. 1227--1284.
 
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M. Horowitz, T. Indermaur, R. Gonzalez. Low-power Digital Design. IEEE Symposium on Low Power Electronics, 1994, pp. 8--11.
 
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G.H. Loh. Width-Partitioned Load Value Predictors. Journal of Instruction-Level Parallelism, 2003, pp. 1--23.
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Y. Sazeides, J. E. Smith. Implementations of Context Based Value Predictors. Technical Report ECE-97-8, University of Wisconsin, Madison, Wisconsin, 1997.
 
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P. Shivakumar, N. P. Jouppi. CACTI 3.0: An Integrated Cache Timing, Power and Area Model. TR 2001/2. Compaq Western Research Laboratory, 2001.
 
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SPECcpu2000 benchmarks. http://www.spec.org/osg/cpu2000.
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Collaborative Colleagues:
Nana B. Sam: colleagues
Martin Burtscher: colleagues