[This article was first published on Byte Mining, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Tuesday night I had the opportunity to present on high performance computing in R, and the Los Angeles R Users’ Group. There was so much to talk about that I had to split my talk into two parts. The first part was parallelization and the second part will be big data (and a bit left over from parallelization including Hadoop).
My slides are posted on SlideShare, and available for download here.
Taking R to the Limit (High Performance Computing in R), Part 1 — Parallelization, LA R Users' Group 7/27/< embed name="__sse4863122" src="http://static.slidesharecdn.com/swf/ssplayer2.swf?doc=rhpc-100729002424-phpapp01&rel=0&stripped_title=taking-r-to-the-limit-high-performance-computing-in-r-part-1-parallelization-la-r-users-group-727" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="425" height="355">
View more presentations from Ryan Rosario.
The corresponding demonstration code is here.
Topics included:
- Rmpi
- snow
- snowfall and sfCluster
- multicore
- foreach
- brief mention of CUDA and GPUs
Video of the presentation with my commentary:
< embed src="http://blip.tv/play/hoYTgfKobgA%2Em4v" type="application/x-shockwave-flash" width="450" allowscriptaccess="always" allowfullscreen="true">
The video was created with Vara ScreenFlow and I am very happy with how easy it is to use and how painless editing was.
For Part 2, Large Datasets in R, click here.
To leave a comment for the author, please follow the link and comment on their blog: Byte Mining.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.