Register file energy reduction by operand data reuse

Hiroshi Takamura, Koji Inoue, Vasily G. Moshnyaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an experimental study of register file utilization in conventional RISC-type data path architecture to determine benefits that we can expect to achieve by eliminating unnecessary register file reads and writes. Our analysis shows that operand bypassing, enhanced for operand-reuse can discard the register file accesses up to 65% as a peak and by 39% on average for tested benchmark programs.

Original languageEnglish
Title of host publicationIntegrated Circuit Design
Subtitle of host publicationPower and Timing Modeling, Optimization and Simulation - 12th International Workshop, PATMOS 2002, Proceedings
EditorsAntonio J. Acosta, Manuel J. Bellido, Bertrand Hochet
PublisherSpringer Verlag
Pages278-288
Number of pages11
ISBN (Print)9783540441434
Publication statusPublished - Jan 1 2002
Externally publishedYes
Event12th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS 2002 - Seville, Spain
Duration: Sep 11 2002Sep 13 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2451
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS 2002
CountrySpain
CitySeville
Period9/11/029/13/02

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Takamura, H., Inoue, K., & Moshnyaga, V. G. (2002). Register file energy reduction by operand data reuse. In A. J. Acosta, M. J. Bellido, & B. Hochet (Eds.), Integrated Circuit Design: Power and Timing Modeling, Optimization and Simulation - 12th International Workshop, PATMOS 2002, Proceedings (pp. 278-288). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2451). Springer Verlag.