Parallel Computing for Data Science: With Examples in R, C++ and CUDA

The R Series

by Norman Matloff

Parallel Computing for Data With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p variables" matrix format but also from time series,

352 pages, Kindle Edition

First published May 27, 2015