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- 328 pages
- 12 hours of reading
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Focusing on parallel data structures and algorithms, this book serves as a comprehensive guide for those interested in parallel computing within data science. It equips readers with the skills to write effective parallel code across multiple programming languages and explores various R packages and tools. The content includes discussions on the classic "n observations, p variables" matrix format, alongside common data structures, complemented by numerous examples that highlight the challenges faced in parallel programming.
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Parallel Computing for Data Science, Norman Matloff
- Language
- Released
- 2015
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- (Hardcover)
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- Title
- Parallel Computing for Data Science
- Subtitle
- With Examples in R, C++ and Cuda
- Language
- English
- Authors
- Norman Matloff
- Publisher
- CRC Press
- Released
- 2015
- Format
- Hardcover
- Pages
- 328
- ISBN13
- 9781466587014
- Series
- Rating
- 4.65 out of 5
- Description
- Focusing on parallel data structures and algorithms, this book serves as a comprehensive guide for those interested in parallel computing within data science. It equips readers with the skills to write effective parallel code across multiple programming languages and explores various R packages and tools. The content includes discussions on the classic "n observations, p variables" matrix format, alongside common data structures, complemented by numerous examples that highlight the challenges faced in parallel programming.