Parallel Computing for Data Science With Examples in R C++ and CUDA | Statistics

Product Description

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 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 range of issues encountered in parallel programming. With the main focus on computation the book shows how to compute on three types of platforms: multicore systems clusters and graphics processing units (GPUs). It also discusses software packages that …