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written with Logue's grandson and drawing exclusively from his grandfather Lionel's diaries and archive
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Parallel Computing for Data Science : With Examples in R, C++ and CUDA Michael R. Solomon and painting with light andParallel Computing for Data Science: 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, network graph models, and numerous other structures common in data science. The examples illustrate the
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