Compiling for SIMD within a register

Randall J. Fisher, Henry G. Dietz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

Abstract

Although SIMD (Single Instruction stream Multiple Data stream) parallel computers have existed for decades, it is only in the past few years that a new version of SIMD has evolved: SIMD Within A Register (SWAR). Unlike other styles of SIMD hardware, SWAR models are tuned to be integrated within conventional microprocessors, using their existing memory reference and instruction handling mechanisms, with the primary goal of improving the speed of specific multimedia operations. Because the SWAR implementations for various microprocessors vary widely and each is missing instructions for some SWAR operations that are needed to support a more general, portable, high-level SIMD execution model, this paper focuses on how these missing operations can be implemented using either the existing SWAR hardware or even conventional 32-bit integer instructions. In addition, SWAR offers a few new challenges for compiler optimization, and these are briefly introduced.

Original languageEnglish
Title of host publicationLanguages and Compilers for Parallel Computing - 11th International Workshop, LCPC 1998, Proceedings
EditorsSiddhartha Chatterjee, Jan F. Prins, Larry Carter, Jeanne Ferrante, Zhiyuan Li, David Sehr, Pen-Chung Yew
Pages290-305
Number of pages16
DOIs
StatePublished - 1999
Event11th International Workshop on Languages and Compilers for Parallel Computing, LCPC 1998 - Chapel Hill, United States
Duration: Aug 7 1998Aug 9 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1656
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Workshop on Languages and Compilers for Parallel Computing, LCPC 1998
Country/TerritoryUnited States
CityChapel Hill
Period8/7/988/9/98

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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