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Exploring the Potential of Architecture-Level Power Optimizations

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Power-Aware Computer Systems (PACS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3164))

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Abstract

This paper examines the limits of microprocessor energy reduction available via certain classes of architecture-level optimization. It focuses on three sources of waste that consume energy. The first is the execution of instructions that are unnecessary for correct program execution. The second source of wasted power is speculation waste – waste due to speculative execution of instructions that do not commit their results. The third source is architectural waste. This comes from suboptimal sizing of processor structures. This study shows that when these sources of waste are eliminated, processor energy has the potential to be reduced by 55% and 52% for the integer and floating point benchmarks respectively.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Cal Poly State University, San Luis Obispo, CA, 93407, USA

    John S. Seng

  2. Dept. of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, 92093-0114, USA

    Dean M. Tullsen

Authors
  1. John S. Seng
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  2. Dean M. Tullsen
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Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Babak Falsafi

  2. ECE, Purdue University, P.O. Box, 47907, IN, USA

    T. N. VijayKumar

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© 2005 Springer-Verlag Berlin Heidelberg

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Seng, J.S., Tullsen, D.M. (2005). Exploring the Potential of Architecture-Level Power Optimizations. In: Falsafi, B., VijayKumar, T.N. (eds) Power-Aware Computer Systems. PACS 2003. Lecture Notes in Computer Science, vol 3164. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28641-7_10

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  • DOI: https://doi.org/10.1007/978-3-540-28641-7_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24031-0

  • Online ISBN: 978-3-540-28641-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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