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 observations...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Bosa Roca
CRC Press
2015
|
| Schriftenreihe: | Chapman & Hall/CRC The R Series
v.28 |
| Schlagworte: | |
| Zusammenfassung: | 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 |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (336 pages) |
| ISBN: | 9781466587038 9781466587014 |
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| spelling | Matloff, Norman Verfasser aut Parallel Computing for Data Science With Examples in R, C++ and CUDA. Bosa Roca CRC Press 2015 © 2015 1 online resource (336 pages) txt rdacontent c rdamedia cr rdacarrier Chapman & Hall/CRC The R Series v.28 Description based on publisher supplied metadata and other sources 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 Informatik Computer science High performance computing Parallel processing (Electronic computers) Datenanalyse (DE-588)4123037-1 gnd rswk-swf Parallelverarbeitung (DE-588)4075860-6 gnd rswk-swf Parallelverarbeitung (DE-588)4075860-6 s Datenanalyse (DE-588)4123037-1 s 1\p DE-604 Erscheint auch als Druck-Ausgabe Matloff, Norman Parallel Computing for Data Science : With Examples in R, C++ and CUDA 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Matloff, Norman Parallel Computing for Data Science With Examples in R, C++ and CUDA. Informatik Computer science High performance computing Parallel processing (Electronic computers) Datenanalyse (DE-588)4123037-1 gnd Parallelverarbeitung (DE-588)4075860-6 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4075860-6 |
| title | Parallel Computing for Data Science With Examples in R, C++ and CUDA. |
| title_auth | Parallel Computing for Data Science With Examples in R, C++ and CUDA. |
| title_exact_search | 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 |
| title_sort | parallel computing for data science with examples in r c and cuda |
| title_sub | With Examples in R, C++ and CUDA. |
| topic | Informatik Computer science High performance computing Parallel processing (Electronic computers) Datenanalyse (DE-588)4123037-1 gnd Parallelverarbeitung (DE-588)4075860-6 gnd |
| topic_facet | Informatik Computer science High performance computing Parallel processing (Electronic computers) Datenanalyse Parallelverarbeitung |
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