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 language | English |
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Title of host publication | Languages and Compilers for Parallel Computing - 11th International Workshop, LCPC 1998, Proceedings |
Editors | Siddhartha Chatterjee, Jan F. Prins, Larry Carter, Jeanne Ferrante, Zhiyuan Li, David Sehr, Pen-Chung Yew |
Pages | 290-305 |
Number of pages | 16 |
DOIs | |
State | Published - 1999 |
Event | 11th International Workshop on Languages and Compilers for Parallel Computing, LCPC 1998 - Chapel Hill, United States Duration: Aug 7 1998 → Aug 9 1998 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 1656 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 11th International Workshop on Languages and Compilers for Parallel Computing, LCPC 1998 |
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Country/Territory | United States |
City | Chapel Hill |
Period | 8/7/98 → 8/9/98 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 1999.
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science