Parallel and high performance computing with R
Please be aware that this webinar was developed for our legacy systems. As a consequence, some parts of the webinar or its entirety may not be applicable to the national systems (Graham, Cedar, Beluga etc.).
In this seminar we will talk about the use of R in a parallel processing environment. We will discuss the general issues concerning the performance of R code, the intrinsic features of R and parallelization by looking at a few simple examples of Monte Carlo simulations. The targeted audience are those who have had experience with R but not much with parallel processing.
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This webinar was presented by Ge Baolai (SHARCNET) on February 17th, 2016 as a part of a series of regular biweekly webinars ran by SHARCNET. The webinars cover different high performance computing (HPC) topics, are approximately 45 minutes in length, and are delivered by experts in the relevant fields. Further details can be found on this web page: https://www.sharcnet.ca/help/index.ph...
SHARCNET is a consortium of 18 Canadian academic institutions who share a network of high performance computers (http://www.sharcnet.ca). SHARCNET is a part of Compute Ontario (http://computeontario.ca/) and Compute Canada (https://computecanada.ca).
