Topic: "High-Performance Computing in R"

Speaker: Alexey Fedoseev, SciNet

Video link

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In the world where data has become extremely important, scientists require tools to process large volumes of data efficiently. R became increasingly popular in recent years for data processing, statistical analysis, and data science. In this session we will discuss tools that measure the performance of an R code, so that we can understand the nature of performance issues. We will also describe techniques that will improve the computational speed of R code. Basic knowledge of programming in R will be assumed.

The Compute Ontario Colloquia are weekly Zoom presentations on Advanced Research Computing, High Performance Computing, Research Data Management, and Research Software topics, delivered by staff from three Compute Ontario consortia (CAC, SciNet, SHARCNET) and guest speakers. The series began January 2023 and superseded similar series previously delivered by individual consortia (e.g. General Interest Seminars by SHARCNET or User Group Meeting TechTalks by SciNet). The colloquia are one hour long and include time for questions. No registration is required. Presentations are usually recorded and uploaded to the hosting consortium video channel.