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Augmenting Modern Superscalar Architectures with Configurable Extended Instructions

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Parallel and Distributed Processing (IPDPS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1800))

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Abstract

The instruction sets of general-purpose microprocessors are designed to offer good performance across a wide range of programs. The size and complexity of the instruction sets, however, are limited by a need for generality and for streamlined implementation. The particular needs of one application are balanced against the needs of the full range of applications considered. For this reason, one can “design” a better instruction set when considering only a single application than when considering a general collection of applications. Configurable hardware gives us the opportunity to explore this option. This paper examines the potential for automatically identifying application-specific extended instructions and implementing them in programmable functional units based on configurable hardware. Adding fine-grained reconfigurable hardware to the datapath of an out-of-order issue superscalar processor allows 4–44% speedups on the MediaBench benchmarks [1]. As a key contribution of our work, we present a selective algorithm for choosing extended instructions to minimize reconfiguration costs within loops. Our selective algorithm constrains instruction choices so that significant speedups are achieved with as few as 4 moderately sized programmable functional units, typically containing less than 150 look-up tables each.

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© 2000 Springer-Verlag Berlin Heidelberg

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Zhou, X., Martonosi, M. (2000). Augmenting Modern Superscalar Architectures with Configurable Extended Instructions. In: Rolim, J. (eds) Parallel and Distributed Processing. IPDPS 2000. Lecture Notes in Computer Science, vol 1800. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45591-4_129

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  • DOI: https://doi.org/10.1007/3-540-45591-4_129

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67442-9

  • Online ISBN: 978-3-540-45591-2

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