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Parallel Computing for Data Science (With Examples in R, C++ and CUDA)
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$110.99
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Product Details
Author:
Norman Matloff
Format:
Hardcover
Pages:
328
Publisher:
CRC Press (June 4, 2015)
Imprint:
Chapman and Hall/CRC
Language:
English
Audience:
Professional and scholarly
ISBN-13:
9781466587014
Weight:
23.375oz
Dimensions:
6.125" x 9.1875"
File:
TAYLORFRANCIS-TayFran_261002043444689-20261002.xml
Folder:
TAYLORFRANCIS
List Price:
$110.99
Country of Origin:
United States
Pub Discount:
30
Series:
Chapman & Hall/CRC The R Series
Case Pack:
22
As low as:
$105.44
Publisher Identifier:
P-CRC
Discount Code:
H
Overview
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.
