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Parallel Computing for Data Science
- With Examples in R, C++ and CUDA
Engelsk Hardback
Parallel Computing for Data Science
- With Examples in R, C++ and CUDA
Engelsk Hardback

791 kr
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6 - 8 hverdage

Om denne bog

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.

Product detaljer
Sprog:
Engelsk
Sider:
328
ISBN-13:
9781466587014
Indbinding:
Hardback
Udgave:
ISBN-10:
1466587016
Udg. Dato:
4 jun 2015
Længde:
23mm
Bredde:
241mm
Højde:
166mm
Forlag:
Taylor & Francis Inc
Oplagsdato:
4 jun 2015
Forfatter(e):
Kategori sammenhænge