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Mastering Parallel Programming with R

Simon R. Chapple, Eilidh Troup, Thorsten Forster, Terence Sloan




[PDF.gk25] Mastering Parallel Programming with R

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 | #1118366 in Books |  2016-05-31 |  2016-05-31 | Original language:English |  9.25 x.55 x7.50l,.94 | File type: PDF | 244 pages

||0 of 0 people found the following review helpful.| Great read resulting in real-life gains|By Sven-Ivar Fjeld|My knowledge of parallel computing is, in other languages, decent. It was therefore great to read this book which introduced me to the R ways of doing things in a parallel fashion, along with some great custom functions, examples, and solutions. As a personal example of how this book benefitted me, I was able to reduce|About the Author|Simon Chapple is a highly experienced solution architect and lead software engineer, with 25+ years developing innovative solutions and applications in data analysis and healthcare informatics, and an expert in supercomputer HPC and Big Data pro

Master the robust features of R parallel programming to accelerate your data science computations

About This Book

  • Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest
  • Become an expert in writing the most efficient and highest performance parallel algorithms in R
  • Get to grips with the concept of parallelism to accelerate your existing R programs

Who This B...

You can specify the type of files you want, for your device.Mastering Parallel Programming with R   |  Simon R. Chapple, Eilidh Troup, Thorsten Forster, Terence Sloan.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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