R parallel Links and blogs - tobigithub/R-parallel GitHub Wiki

Photo: (Alan Cleaver@Flickr)

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• Parallel R - A book by: Q. Ethan McCallum; Stephen Weston, Publisher: O'Reilly Media, Inc., Pub. Date: 2011

• R High Performance Programming - A book by: Aloysius Lim, William Tjhi. Code examples from the book can be found here.

• High Performance Computing with R - An overview of different R packages and explicit parallelism, implicit parallelism, grid computing, MapReduce and HaDOOP and applications.

• A brief foray into parallel processing with R - BlogPost

• A Survey of R Software for Parallel Computing - Esam Mahdi

• RevolutionAnalytics MKL Engine - how parallelism speeds up matrix operations

• Parallel computing in R - a comparison of snow, mclapply, snowfall and parLapply.

• Benchmarking and profiling in R - instructions for R coders by Laurent Gatto, the repository also includes teaching material and R code.

• Introduction to Parallel Computing - General parallel computing essay by Blaise Barney (LLNL).

• Data-Intensive Computing with R - Data-Intensive Computing with R by Glenn Lockwood

• Parallel Computing for Data Science with Examples in R and Beyond - a book by Norm Matloff from UC Davis

• Moving from for to parallel foreach - a tutorial by Henry Scharf

• Out of sample procedures - Win-vector blog by John Mount and Nina Zumel

• A Fundamental Turn Toward Concurrency in Software - essay by Herb Sutter