High Performance Computing Center North
In the present course you will learn several strategies to write faster and more efficient code in R. This will be done in several steps starting from a serial code and then using existing packages to parallelize code so that it can take advantage of the many core architecture of Kebnekaise. An HPC cluster such as Kebnekaise is useful for R users because it can provide both more CPU power and memory than what a personal computer can offer, but one needs to make the code aware of these resources. We will explore ways to achieve the latter and when parallel algorithms are suitable and possible.
This course will be two half-days. It will have lectures interspersed with some hands-on sessions where you get to try out what you have just learned.
NOTE: The course will be online! We will use Zoom. A link to the Zoom room will be distributed to the participants shortly before the course.
The course is a cooperation between HPC2N and PDC and is also part of the PRACE Training courses. It is thus open for academics and people who work in industry in the PRACE member countries.
Part of the course will be done on your own computer and part will be done on HPC2N's cluster Kebnekaise. Because of this, you will need accounts at SUPR/HPC2N. If you do not already have those, we will contact you about creating such accounts.
Installations and setup before the course: https://www.hpc2n.umu.se/events/courses/2022/R-in-HPC/setup
Slides from the course: https://github.com/menzzana/parallel_R_course/tree/master/presentations
All the materials for the R course can be found here: https://github.com/menzzana/parallel_R_course
Q/A from the course [PDF].
Recordings of the lectures can be found on HPC2N's Youtube channel. The direct link to the playlist for the recordings from the course is here.
Participation is free and open to all users from the SNIC HPC centres and academics throughout the Nordic region.
Course project: As part of the HPC2N hands-on, you will be given temporary access to a course project, which will be used for running the hands-on examples. There are some policies regarding this, that we ask that you follow:
The course uses computing resources provided by the Swedish National Infrastructure for Computing (SNIC) at HPC2N partially funded by the Swedish Research Council through grant agreement no. 2018-05973.
Time: 09:00-12:00 (both days)
Location: ONLINE. Zoom: connection information will be sent to participants before the course
Instructors: Pedro Ojeda-May, Henric Zazzi
Helper: Birgitte Brydsö
Deadline for registration: 2022-12-05
Contact Person: email@example.com
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