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The use of parallelism in R is imminent and urgent, for many years R coders have ignored parallelism and slowed down the deployment of fast R code. This also lead to a number (plethora) of parallel packages, which are in many cases incompatible with certain operating systems or R versions, stop functioning after R upgrades, refuse to be installed and simply do not work. This gist will address a few issues of the tremendous speed-up of slow R code when using multiple CPUs or threads. The free lunch is almost over.
- R-parallel Overview
- R-parallel Setups
- R-parallel Benchmarks
- R-parallel Examples
- R-parallel Snippets
- R-parallel Errors
- R-parallel Links and blogs
