BEGIN:VCALENDAR VERSION:2.0 PRODID:www.eu-parc.eu BEGIN:VEVENT UID:6a987a5f6ff1c DTSTART:20260907T070000Z SEQUENCE:0 TRANSP:OPAQUE DTEND:20260907T140000Z SUMMARY:High Performance R CLASS:PUBLIC DESCRIPTION:The Using R Efficiently in a High Performance Computing Environ ment course will be offered in a hybrid format\, with participants able to attend on-site at the CSC Training Facilities in Espoo\, Finland\, or onl ine via Zoom. This two-day course will focus on improving the efficiency o f R analyses and making effective use of available computing resources. Pa rticipants will learn how to identify performance bottlenecks through benc hmarking and profiling\, optimise R code based on the properties of the pr ogramming language\, and manage memory and computing resources more effect ively. The course will also introduce parallel and distributed computing w ith R\, including the use of local and supercomputing resources. Short lec tures and demonstrations will be complemented by hands-on exercises using RStudio and Roihu\, enabling participants to develop practical skills for analysing performance bottlenecks\, managing computing resources\, and spe eding up R analyses. \;Target audienceThis course is particularly rele vant for researchers and professionals who are already familiar with the b asics of R and wish to improve the efficiency of their analyses or learn h ow to use R in a high-performance computing environment. Participants shou ld have previous experience with basic R tasks such as data manipulation\, plotting\, or statistical analysis. Basic knowledge of Linux and previous experience with supercomputing environments are useful but not required. X-ALT-DESC;FMTTYPE=text/html:

The Using R Efficiently in a High Performance Computing Environment course will b e offered in a hybrid format\, with participants able to attend on-site at the CSC Training Facilities in Espoo\, Finland\, or online via Zoom. This two-day course will focus on improving the efficiency of R analyses and m aking effective use of available computing resources. Participants will le arn how to identify performance bottlenecks through benchmarking and profi ling\, optimise R code based on the properties of the programming language \, and manage memory and computing resources more effectively. The course will also introduce parallel and distributed computing with R\, including the use of local and supercomputing resources. Short lectures and demonstr ations will be complemented by hands-on exercises using RStudio and Roihu\ , enabling participants to develop practical skills for analysing performa nce bottlenecks\, managing computing resources\, and speeding up R analyse s.

Target audience
This course is particularly relevant for researchers and professionals who are already fa miliar with the basics of R and wish to improve the efficiency of their an alyses or learn how to use R in a high-performance computing environment. Participants should have previous experience with basic R tasks such as da ta manipulation\, plotting\, or statistical analysis. Basic knowledge of L inux and previous experience with supercomputing environments are useful b ut not required.

DTSTAMP:20260902T193455Z END:VEVENT BEGIN:VEVENT UID:6a987a5f6ff5a DTSTART:20260908T070000Z SEQUENCE:0 TRANSP:OPAQUE DTEND:20260908T140000Z SUMMARY:High Performance R CLASS:PUBLIC DESCRIPTION:The Using R Efficiently in a High Performance Computing Environ ment course will be offered in a hybrid format\, with participants able to attend on-site at the CSC Training Facilities in Espoo\, Finland\, or onl ine via Zoom. This two-day course will focus on improving the efficiency o f R analyses and making effective use of available computing resources. Pa rticipants will learn how to identify performance bottlenecks through benc hmarking and profiling\, optimise R code based on the properties of the pr ogramming language\, and manage memory and computing resources more effect ively. The course will also introduce parallel and distributed computing w ith R\, including the use of local and supercomputing resources. Short lec tures and demonstrations will be complemented by hands-on exercises using RStudio and Roihu\, enabling participants to develop practical skills for analysing performance bottlenecks\, managing computing resources\, and spe eding up R analyses. \;Target audienceThis course is particularly rele vant for researchers and professionals who are already familiar with the b asics of R and wish to improve the efficiency of their analyses or learn h ow to use R in a high-performance computing environment. Participants shou ld have previous experience with basic R tasks such as data manipulation\, plotting\, or statistical analysis. Basic knowledge of Linux and previous experience with supercomputing environments are useful but not required. X-ALT-DESC;FMTTYPE=text/html:

DTSTAMP:20260902T193455Z END:VEVENT END:VCALENDAR