High Performance Computing Center North
There is interest among R users to get started in High Performance Computing (HPC) as they need more CPU power, memory or both. Because most of the Machine Learning (ML) models in R are computationally demanding, they are a good starting point to introduce HPC concepts. In the present course, you will learn how to improve your code so that it could run more efficiently on a Desktop and also in an HPC environment. As realistic ML models are computationally expensive when running on a Desktop, we will also teach you how to run these models on Kebnekaise, a HPC cluster at our center. The focus of the course will not be about ML though.
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!
Requirements: Basic knowledge of R, a comprehensive material can be found in the Software Carpentry lesson on R. Linux, we have a recorded video on our Youtube channel (Linux).
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/r-in-hpc-spring-2021/setup
Slides from the course: https://hpc2n.github.io/R_for_HPC/
All the materials for the R course can be found here: GitHub | Zip-file
Recordings of the lectures can be found on HPC2N's Youtube channel.
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: 8:00-12:00 (Thursday), 09:00-12:00 (Friday)
Location: ONLINE. Zoom: connection information will be sent to participants before the course
Instructor: Pedro Ojeda-May
Helpers: Mirko Myllykoski, Birgitte Brydsö
Deadline for registration: 2021-02-18
Contact Person: email@example.com
Please fill in the below form to sign up. All fields marked with * are required. REGISTRATION CLOSED!