Mastering Parallel Programming with R by Simon Chapple
Mastering Parallel Programming with R Simon Chapple ebook
Format: pdf
Publisher: Packt Publishing, Limited
Page: 245
ISBN: 9781784394004
In R language, the members at Revolution R provide foreach and doSNOW packages for parallel computation. 2.1 2.3.3 Approaches to Parallel Programming. Mastering Parallel Programming with R. Recently I've learned how to do parallel computing in R on a cluster of NOTE: 51 is the number of cores/cpus to use, 1 master + 50 slaves. Download it once and read it on your Kindle device, PC, phones or tablets. Improving Performance with Parallel Programming written by Eric Rochester: one of the many articles from Packt Mastering Parallel Programming with R. Mastering Parallel Programming with R - Kindle edition by Simon Chapple. Master the robust features of R parallel programming to accelerate your data science computations. Mastering Parallel Programming with R presents a comprehensive and practical treatise on how to build highly scalable and efficient algorithms in R. Currently, it supports the “parallel” package in R and HP Distributed R as simple, the API intentionally mirrors R's existing programming constructs. The course will cover the major concepts in programming with R, Graphics, parallel computing basics, big data resources in R. The doSNOW package is a foreach parallel adaptor for the 'snow' Package. Mastering Cloud Computing Chapter 2—Principles of Parallel and Distributed Computing.