As mentioned
yesterday,
I spent a few days last week in Japan as I had an opportunity to present the
*Introduction to High-Performance Computing with R* tutorial at the
Institute for Statistical Mathematics
in Tachikawa near Tokyo thanks to an invitation by
Junji Nakano.

An updated version of the presentations slides (with a few typos corrected) is now available as is a 2-up handout version. Compared to previous versions, and reflecting the fact that this was the 'all-day variant' of almost five hours of lectures, the following changes were made:

- the 'parallel computing' section was expanded further with discussion of the recent R packages multicore, iterators, foreach, doNWS, doSNOW, doMPI;
- a first discussion of GPU computing using the gputools package was added;
- the section on 'out of memory computing' using ff, bigmemory and biglm (including an example borrowed from Jay Emerson) reappeared in this longer version;
- minor fixes and polishing throughout.

Comments and suggestions are, as always, appreciated.