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Parallel Computing for Data Science
book

Parallel Computing for Data Science

by Norman Matloff
November 2015
Intermediate to advanced
328 pages
10h 12m
English
CRC Press
Content preview from Parallel Computing for Data Science
12.5. EXAMPLE: PERFORMANCE OF OPENBLAS 261
Thus even in ordinary serial computation, e.g. R’s %*% operator, the speed
of matrix operations may vary according to the version of BLAS that your
implementation of R was built with.
In our context here of parallel computation, one version of BLAS of spe-
cial interest is OpenBLAS, a multithreaded version that can bring perfor-
mance gains on multicore machines, and also includes various efficiencies
that greatly improve performance even in the serial case. We’ll take a closer
look at it in Section 12.5.
As noted, there is also CUBLAS, a version of BLAS for NVIDIA GPUs,
highly tailored to that platform. A num ...
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Publisher Resources

ISBN: 9781466587014