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
Autor principal: Matloff, Norman
Lenguaje:eng
Publicado: CRC Press 2015
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2031740
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author Matloff, Norman
author_facet Matloff, Norman
author_sort Matloff, Norman
collection CERN
description 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
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher CRC Press
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spelling cern-20317402020-07-16T20:00:52Zhttp://cds.cern.ch/record/2031740engMatloff, NormanParallel computing for data science: with examples in R, C++ and CUDAComputing and ComputersParallel 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 platforCRC Pressoai:cds.cern.ch:20317402015
spellingShingle Computing and Computers
Matloff, Norman
Parallel computing for data science: with examples in R, C++ and CUDA
title Parallel computing for data science: with examples in R, C++ and CUDA
title_full Parallel computing for data science: with examples in R, C++ and CUDA
title_fullStr Parallel computing for data science: with examples in R, C++ and CUDA
title_full_unstemmed Parallel computing for data science: with examples in R, C++ and CUDA
title_short Parallel computing for data science: with examples in R, C++ and CUDA
title_sort parallel computing for data science: with examples in r, c++ and cuda
topic Computing and Computers
url http://cds.cern.ch/record/2031740
work_keys_str_mv AT matloffnorman parallelcomputingfordatasciencewithexamplesinrcandcuda

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