Download E-books Programming on Parallel Machines: GPU, Multicore, Clusters and More PDF

By Norm Matloff

"Why is that this ebook assorted from all different parallel programming books?"

compatible for both scholars or professionals.

useful viewpoint:

there's little or no theoretical research of parallel algorithms, comparable to O() research, greatest theoretical speedup, acyclic graphs and so on.

large insurance of "wizardry" features, i.e. fabric recognized to skilled practitioners yet ordinarily now not in books, corresponding to insurance of loop generation scheduling, reminiscence results of storing huge arrays and so on.

Appendices disguise platforms history, an important in utilized paintings yet regularly simply "assumed" to be wisdom possessed through the readers.

massive realization is paid to concepts for debugging.

makes use of the most parallel platforms---OpenMP, CUDA and MPI---rather than languages that at this degree are principally experimental, corresponding to the elegant-but-not-yet-mainstream Cilk.

begins with genuine parallel code straight away in bankruptcy 1, with examples from pthreads, OpenMP and MPI.

Constantly evolving: like several my open resource textbooks, this one is continually evolving. I proceed so as to add new issues, new examples, extra timing analyses, and so forth, and naturally repair insects and enhance the exposition.

Prerequisites: the scholar has to be quite adept in programming, and feature math heritage via linear algebra. (An appendix to the ebook stories the components of the latter wanted for this book.)

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