Parallel Computing for Data Science: With Examples in R, C++ and CUDA (Chapman & Hall/CRC The R Series)

Parallel Computing for Data Science: With Examples in R, C++ and CUDA (Chapman & Hall/CRC The R Series)


Parallel Computing for info technological know-how: With Examples in R, C++ and CUDA is likely one of the first parallel computing books to pay attention solely on parallel info buildings, algorithms, software program instruments, and functions in info technological know-how. It comprises examples not just from the vintage "n observations, p variables" matrix structure but additionally from time sequence, community graph versions, and diverse different buildings universal in info technology. The examples illustrate the diversity of concerns encountered in parallel programming.

With the focus on computation, the booklet exhibits tips on how to compute on 3 sorts of structures: multicore structures, clusters, and images processing devices (GPUs). It additionally discusses software program programs that span a couple of kind of and will be used from multiple form of programming language. Readers will locate that the basis validated during this ebook will generalize good to different languages, corresponding to Python and Julia.

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