Parallel computing for data science : with examples in R, C++ and CUDA /

Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic ""n observ...

Full description

Bibliographic Details
Main Author:	Matloff, Norman S. (Author)
Format:	eBook
Language:	English
Published:	Boca Raton, FL : CRC Press, [2016]
Series:	Chapman & Hall/CRC the R series (CRC Press)
Subjects:	Parallel programming (Computer science) Electronic data processing. R (Computer program language) Programming languages (Electronic computers) Programming Languages Programmation parallèle (Informatique) R (Langage de programmation) Langages de programmation. Programmiersprache
Online Access:	Connect to the full text of this electronic book

Description
Summary:	Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic ""n observations, p variables"" matrix format but also from time series, network graph models, and numerous other structures common in data science. The examples illustrate the range of issues encountered in parallel programming. With the main focus on computation, the book shows how to compute on three types of platfor.
Physical Description:	1 online resource (xxiii, 310 pages) : illustrations
Bibliography:	Includes bibliographical references and index.
ISBN:	9781466587038 1466587032