Parallel Computing for Data Science: With Examples in R, C++ and CUDA: 28 (Chapman & Hall/CRC The R Series)
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Parallel Computing for Data Science: With Examples in R, C++ and CU...
Book Details:
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Author: Norman Matloff
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Publisher: CRC Press
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Edition: 1
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Binding: Paperback
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Format: Import
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Release Date: 18-12-2020
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ISBN: 9780367738198
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Language: English
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Pages: 328
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Cover: Paperback
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Dimensions: 9.0 x 6.1 x 0.9 inches
About The Book:
Parallel Computing for Data Science: With Examples in R, C++, and CUDA is one of the first books dedicated exclusively to parallel computing in the context of data science. It dives into parallel data structures, algorithms, software tools, and their real-world applications across various data science domains. The book offers practical examples not only from the classic "n observations, p variables" matrix format but also from time series, network graph models, and many other structures common in the data science world.
By illustrating these examples, the book helps readers navigate the complexities of parallel programming, making it an invaluable resource for anyone looking to master this challenging area of computation. The focus is on computation across three platforms: multicore systems, clusters, and graphics processing units (GPUs), with a detailed exploration of how to leverage each for optimal performance.
Additionally, the book addresses cross-platform software packages that can work across multiple hardware types and support different programming languages. While examples are provided in R, C++, and CUDA, the underlying concepts presented are generalizable to other languages, such as Python and Julia, making this book a versatile guide for data scientists and computational researchers alike.
