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Selective writeback: exploiting transient values for energy-efficiency and performance
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Source International Symposium on Low Power Electronics and Design archive
Proceedings of the 2006 international symposium on Low power electronics and design table of contents
Tegernsee, Bavaria, Germany
SESSION: Microarchitectural techniques for low power table of contents
Pages: 37 - 42  
Year of Publication: 2006
ISBN:1-59593-462-6
Authors
Deniz Balkan  State University of New York, Binghamton, NY
Joseph Sharkey  State University of New York, Binghamton, NY
Dmitry Ponomarev  State University of New York, Binghamton, NY
Kanad Ghose  State University of New York, Binghamton, NY
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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ABSTRACT

Today's superscalar microprocessors use large, heavily-ported physical register files (RFs) to increase the instruction throughput. The high complexity and power dissipation of such RFs mainly stem from the need to maintain each and every result for a large number of cycles after the result generation. We observed that a significant fraction (about 45%) of the result values are delivered to their consumers via the bypass network (consumed "on-the-fly") and are never read out from the destination registers. In this paper, we first formulate conditions for identifying such transient values and describe their micro-architectural implementation; then we propose a technique to avoid the writeback of such transient values into the RF. With 64-entry integer and floating point register files, our technique achieves an 11% performance improvement and 29% reduction in the RF energy consumption compared to the baseline machine with the same number of registers. Furthermore, for the same performance target, the Selective Writeback scheme results in a 38% reduction in the energy consumption of the RF compared to the baseline machine.


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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Burger, D. and Austin, T. M., "The SimpleScalar tool set: Version 2.0", Tech. Report, Dept. of CS, Univ. of Wisconsin-Madison, June 1997.
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Collaborative Colleagues:
Deniz Balkan: colleagues
Joseph Sharkey: colleagues
Dmitry Ponomarev: colleagues
Kanad Ghose: colleagues