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Parallel Computing for Data Science

Wed, 08 Jul 2015 12:06:06 GMT

Hot off the press, Norman Matloff's book, Parallel Computing for Data Science: With Examples in R, C++ and CUDA  (Chapman and Hall/ CRC Press, 2015) should appeal to a lot of the readers of this blog. The book's coverage is clear from the following chapter titles: 1. Introduction to Parallel Processing in R 2. Performance Issues: General 3. Principles of Parallel Loop Scheduling 4. The Message Passing Paradigm 5. The Shared Memory Paradigm 6. Parallelism through Accelerator...

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