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Parallel Computing for Data Science

Language EnglishEnglish
Book Hardback
Book Parallel Computing for Data Science Norman Matloff
Libristo code: 09221337
Publishers Taylor & Francis Inc, June 2015
Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel c... Full description
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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 platforms: multicore systems, clusters, and graphics processing units (GPUs). It also discusses software packages that span more than one type of hardware and can be used from more than one type of programming language. Readers will find that the foundation established in this book will generalize well to other languages, such as Python and Julia.

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About the book

Full name Parallel Computing for Data Science
Language English
Binding Book - Hardback
Date of issue 2015
Number of pages 328
EAN 9781466587014
ISBN 1466587016
Libristo code 09221337
Weight 626
Dimensions 241 x 166 x 23
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