Using modern graphics architectures for general-purpose computing: a framework and analysis
Recently, graphics hardware architectures have begun to emphasize versatility, offering rich new ways to programmatically reconfigure the graphics pipeline. In this paper we explore whether current graphics architectures can be applied to problems where general-purpose vector processors might tradit...
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Published in | 35th Annual IEEE/ACM International Symposium on Microarchitecture, 2002. (MICRO-35). Proceedings pp. 306 - 317 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
2002
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Subjects | |
Online Access | Get full text |
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Summary: | Recently, graphics hardware architectures have begun to emphasize versatility, offering rich new ways to programmatically reconfigure the graphics pipeline. In this paper we explore whether current graphics architectures can be applied to problems where general-purpose vector processors might traditionally be used. We develop a programming framework and apply it to a variety of problems, including matrix multiplication and 3-SAT. Comparing the speed of our graphics card implementations to standard CPU implementations, we demonstrate startling performance improvements in many cases, as well as room for improvement in others. We analyze the bottlenecks and propose minor extensions to current graphics architectures which would improve their effectiveness for solving general-purpose problems. Based on our results and current trends in microarchitecture, we believe that efficient use of graphics hardware will become increasingly important to high-performance computing on commodity hardware. |
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ISBN: | 9780769518596 0769518591 |
ISSN: | 1072-4451 |
DOI: | 10.1109/MICRO.2002.1176259 |