Parallel Computing for Data Science Parallel Computing for Data Science
Chapman & Hall/CRC The R Series

Parallel Computing for Data Science

With Examples in R, C++ and CUDA

    • $67.99
    • $67.99

Publisher Description

This is one of the first parallel computing books to focus exclusively on parallel data structures, algorithms, software tools, and applications in data science. The book prepares readers to write effective parallel code in various languages and learn more about different R packages and other tools. It covers the classic n observations, p variables matrix format and common data structures. Many examples illustrate the range of issues encountered in parallel programming.

GENRE
Computers & Internet
RELEASED
2015
June 4
LANGUAGE
EN
English
LENGTH
328
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
9.9
MB
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