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Parallel Computing for Data Science
With Examples in R, C++ and CUDA
Overview
This is one of the first parallel computing books to focus exclusively on parallel data structures, algorithms, software tools, and applications in data science.
Purpose
The book prepares readers to write effective parallel code in various languages and learn more about different R packages and other tools.
Content
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.
