Course: Introduction to Kebnekaise, 2024-01-18

In this course we will cover the following topics:

Course: Using Python in an HPC environment

This course aims to give a brief, but comprehensive introduction to using Python in an HPC environment. You will learn how to use modules to load Python, how to find site installed Python packages, as well as how to install packages yourself. In addition, you will learn how to use virtual environments, write a batch script for running Python, use Python in parallel, and how to use Python for ML and on GPUs. 

Course: Introduction to Git

The course will be an introduction to version control, with a strong focus on Git.

Some of the main concepts, like repositories, commits, trees, branches, and merges will be covered, as will many of the basic commands, like clone, add, push, pull, commit, and fork. We will also go one step beyond the basic concepts and explain the fundamentals of how commits and branches can be manually created by using so-called "plumbing" (low-level) subcommands.

You are cordially invited to the next NHR PerfLab Seminar talk.
The event will take place online via Zoom.

Title:    The Linear Algebra Mapping Problem
           and how programming languages solve it

Speaker:  Paolo Bientinesi,
           University of Umeå,
           Director, HPC2N

Date:   Tuesday, September 12, 2023
Time:   2:00 p.m. - 3:00 p.m. CEST

Node-Level Performance Engineering (4-6 December 2023)

This online course is given by Leibniz Supercomputing Centre in cooperation with NHR@FAU.

The course covers performance engineering approaches on the compute node level. Even application developers who are fluent in OpenMP and MPI often lack a good grasp of how much performance could at best be achieved by their code. This is because parallelism takes us only half the way to good performance.

Course: Introduction to running R, Python, and Julia in HPC, 17-19 October 2023

Learn how to run R, Python, and Julia at Swedish HPC centres. We will show you how to find and load the needed modules, how to write a batch script, as well as how to install and use your own packages, and more.
The course will consist of lectures interspersed with hands-on sessions where you get to try out what you have just learned.

This workshop is arranged by MathWorks and is part of their Nordic HPC Workshops.

Does your project involve large computations or training Machine Learning and Deep Learning models? Are you interested in speeding up your code by harnessing a High-Performance Computing (HPC) resource near you?

A LUMI Benchmark and Development call is now open

The purpose of the LUMI Benchmark and Development calls is to support researchers and HPC application developers by giving them the opportunity to develop, test, optimise and benchmark their applications on the upcoming/available LUMI system prior to applying for a regular LUMI Sweden project.

To apply, you must be a scientist in Swedish academia, at least at the level of assistant professor. Normally previous experience from NAISS Medium/Large Compute projects, or equivalent, is required.