Parallel 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 s

What does Google's management of billions of Web pages have in common with analysis of a genome with billions of nucleotides? Both apply methods that coordinate

There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The t

An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel compu

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine lea