Fast matrix multiplies using graphics hardware

  • Authors:
  • E. Scott Larsen;David McAllister

  • Affiliations:
  • University of North Carolina at Chapel Hill, Chapel Hill, NC;University of North Carolina at Chapel Hill, Chapel Hill, NC

  • Venue:
  • Proceedings of the 2001 ACM/IEEE conference on Supercomputing
  • Year:
  • 2001

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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.