Parallel Computing for Data Science

With Examples in R, C++ and Cuda

Autori

• Norman Matloff

Parametri

• 328 pagine
• 12 ore

• Computer, IT, programmazione
• Matematica

Maggiori informazioni sul libro

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.

Lingua: Inglese

Pubblicato: 2015

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