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Randomization of Approximate Bilinear Computation for Matrix Multiplication
May 17, 2019 Β· Declared Dead Β· π International Journal of Computer Mathematics Computer Systems Theory
"No code URL or promise found in abstract"
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Authors
Osman Asif Malik, Stephen Becker
arXiv ID
1905.07439
Category
cs.DS: Data Structures & Algorithms
Cross-listed
math.NA
Citations
2
Venue
International Journal of Computer Mathematics Computer Systems Theory
Last Checked
4 months ago
Abstract
We present a method for randomizing formulas for bilinear computation of matrix products. We consider the implications of such randomization when there are two sources of error: One due to the formula itself only being approximately correct, and one due to using floating point arithmetic. Our theoretical results and numerical experiments indicate that our method can improve performance when each of these error sources are present individually, as well as when they are present at the same time.
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