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Numerical linear algebra / Matrices / Matrix / Cache-oblivious algorithm / General Matrix Multiply / Locality of reference / LU decomposition / Sparse matrix / Triangular matrix / Algebra / Linear algebra / Mathematics


Document Date: 2007-10-30 09:43:46

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Seattle / Supercomputing / Ottawa / Austin / Washington / DC / Philadelphia / Berlin / Sunnyvale / /

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Advanced Micro Devices Inc. / Concur / ACM Inc. / Intel / IBM Ltd. / ACM Press / /

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United States / /

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University Bloomington / AMD Core Math Library / Performance Keywords Matrix Template Library / Indiana University / Matrix Template Library / Standard Template Library / /

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oblivious algorithms / multicore chips / direct solution / unrolled matrix product / iterative and recursive algorithms / matrix product / multi-core chips / faster processors / block-recursive algorithms / blockrecursive algorithm / analogous tool / object-oriented tools / iterative algorithms / recursive and blockrecursive algorithms / recursive algorithm / cases conventional hardware / obvious iterative algorithms / implemented tools / matrix algorithms / suitable algorithms / remote processors / software libraries / linear systems / vector processors / scientific computing / /

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L3 / /

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National Science Foundation / Lilly Endowment / U.S. Government / Society for Industrial and Applied Mathematics / Indiana University / Univ. of Texas / /

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J. D. Frens / Michael D. Adams / Y. Gu / G. A. Alexander / D. S. Wise / Peter Gottschling David / R. Raman / Proc / K. P. Lorton / M. D. Adams / David S. Wise / /

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Fortran / C++ / /

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Texas / Indiana / New York / Washington / Ontario / /

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