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Numerical linear algebra / Matrix theory / Sparse matrices / Matrices / Matrix multiplication / Sparse matrix / Matrix / LU decomposition / Cholesky decomposition / Algebra / Linear algebra / Mathematics


SIAM J. MATRIX ANAL. & APPL. Vol. 32, No. 3, pp. 866–901 © 2011 Society for Industrial and Applied Mathematics MINIMIZING COMMUNICATION IN NUMERICAL
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Document Date: 2013-10-08 19:02:10


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Toledo / Berlin / Tiskin / /

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Let S a / 3M / Microsoft / Lawrence Berkeley National Laboratory / Intel / /

Country

Germany / /

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Funding / /

Facility

University of California / The Weizmann Institute of Science / /

IndustryTerm

recursive algorithm / dot products / simpler optimal algorithms / parallel algorithms / network connecting processors / distributive law / graph theoretical algorithms / Communication-optimal algorithms / designed algorithms / conventional algorithm / sequential algorithm / dense and sparse linear algebra algorithms / to these algorithms / parallel algorithm / complicated accounting / overall algorithm / linear algebra algorithms / certain graph algorithms / conventional algorithms / /

OperatingSystem

L3 / /

Organization

U.S. Department of Energy / CS Division / Mathematics Department / Society for Industrial / University of California / Berkeley / Technische Universität Berlin / Computer Science Department / Weizmann Institute of Science / /

Person

OLGA HOLTZ / JAMES DEMMEL / ODED SCHWARTZ / /

Position

author / /

ProvinceOrState

California / /

Technology

sequential algorithm / one processor / linear algebra algorithms / graph theoretical algorithms / network connecting processors / overall algorithm / dense and sparse linear algebra algorithms / certain graph algorithms / least one processor / parallel algorithm / Strassen-like algorithms / Then at least one processor / recursive algorithm / Schmidt algorithm / conventional algorithm / /

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