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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
5.12. LOCKFREE SYNCHRONIZATION 155
Due to work stealing (Section 5.3.2), and possibly better cache be-
havior, TBB code in some cases yields better performance.
TBB does not require special compiler capability, in contrast say to
OpenMP, which requires that the compiler understand OpenMP prag-
mas.
TBB provides greater flexibility than OpenMP, though at the expense
of considerably greater complexity.
Concerning this last bullet item, TBB requires one to make use of C++
functors, which are function objects taking the form of a struct or class.
We will use these in the Thrust context in Chapter 7, but functors are just
the beginning of the added complexity ...
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Publisher Resources

ISBN: 9781466587014