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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Matloff, Norman S. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press, [2016]
Colección:Chapman & Hall/CRC the R series (CRC Press)
Temas:
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.
Electronic data processing
Programmiersprache
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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.
Descripción Física:1 online resource (xxiii, 310 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9781466587038
1466587032

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