Parallel Computing for Data Science: With Examples in R, C++ and CUDA (Chapman & Hall/CRC The R Series)
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- Synopsis
- This is one of the first parallel computing books to focus exclusively on parallel data structures, algorithms, software tools, and applications in data science. The book prepares readers to write effective parallel code in various languages and learn more about different R packages and other tools. It covers the classic n observations, p variables matrix format and common data structures. Many examples illustrate the range of issues encountered in parallel programming.
- Copyright:
- 2016
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 328 Pages
- ISBN-13:
- 9781040055250
- Related ISBNs:
- 9780429072161, 9781466587038, 9780367738198, 9781466587014
- Publisher:
- CRC Press
- Date of Addition:
- 06/30/24
- Copyrighted By:
- Taylor & Francis Group, LLC
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.