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Fast matrix multiplies using graphics hardware
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Source Conference on High Performance Networking and Computing archive
Proceedings of the 2001 ACM/IEEE conference on Supercomputing (CDROM) table of contents
Denver, Colorado
Pages: 55 - 55  
Year of Publication: 2001
ISBN:1-58113-293-X
Authors
E. Scott Larsen  University of North Carolina at Chapel Hill, Chapel Hill, NC
David McAllister  University of North Carolina at Chapel Hill, Chapel Hill, NC
Sponsors
ACM: Association for Computing Machinery
SIGARCH: ACM Special Interest Group on Computer Architecture
IEEE-CS\DATC : IEEE Computer Society
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 14,   Downloads (12 Months): 102,   Citation Count: 30
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ABSTRACT

We present a technique for large matrix-matrix multiplies using low cost graphics hardware. The result is computed by literally visualizing the computations of a simple parallel processing algorithm. Current graphics hardware technology has limited precision and thus limits immediate applicability of our algorithm. We include results demonstrating proof of concept, correctness, speedup, and a simple application. This is therefore forward looking research: a technique ready for technology on the horizon.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
J. Dongarra. An update of a couple of tools: ATLAS and PAPI. DOE Salishan Meeting (Available from http://www.netlib.org/utk/people/JackDongarra/SLIDES/salishan.ps), April 2001.
 
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J. Kautz and M. D. McCool. Interactive rendering with arbitrary BRDFs using separable approximations. In Rendering Techniques, Proceedings of the 10th Eurographics Workshop on Rendering, pages 281-292, June 1999.
 
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M. Woo, J. Neider, T. Davis, and O. A. R. Board. OpenGL Programming Guide. Addison-Wesley, second edition, 1997.

CITED BY  30

Collaborative Colleagues:
E. Scott Larsen: colleagues
David McAllister: colleagues