Course: Introduction to HPC2N, 2020-01-22

  • Posted on: 5 December 2019
  • By: bbrydsoe

Introduction to HPC2N

This one-day course consists of a (optional) introduction to Linux, followed by an introduction to HPC and HPC2N. We will focus on Kebnekaise and the usage of our system, including access, modules, and the batch system. There will be a hands-on.

Requirements:  none

Date: 2020-01-22
Time: 9:00-17:00
Location: MA136, MIT-Huset, Umeå University
Instructors: Pedro Ojeda-May, Birgitte Brydsö, Mirko Myllykoski

Course: VASP - Basic Theory and Best Practices, 29 October 2019

  • Posted on: 10 September 2019
  • By: bbrydsoe

VASP - Basic Theory and Best Practices

This one day course will start by looking at the basic theory, then go on to setting up input scripts for VASP. We will look at general recommendations for common methodologies used, some common issues when setting up a simulation, and also at running VASP on HPC2N. In addition, there will be a hands-on.

Participation is free. Coffee/tea will be provided.

Instructors: Weine Olovsson, Pedro Ojeda May, Birgitte Brydsö

Time and date: 29. October 2019, 09:00-17:00.

Course: Introduction to HPC2N, 12 September 2019

  • Posted on: 14 June 2019
  • By: bbrydsoe

This whole day course will begin with a short (optional) introduction to Linux. We then continue with an introduction to HPC and HPC2N, followed by a walkthrough of the Kebnekaise system, including the GPUs and KNLs. In the afternoon we go through the module system and take a brief look at how to submit jobs. During the hands-on you will get the opportunity to try loading modules, compile a program, and submit a job to the Kebnekaise cluster. For those who are interested, there will be a guided tour of the machine rooms.

Participation is free. Coffee/tea will be provided.

Course: Tensorflow and Deep Learning, 8-9 May 2019

  • Posted on: 28 March 2019
  • By: bbrydsoe

Two day course focused on Tensorflow and Deep Learning. We will start with an introduction to Tensorflow, then give some basic information about Generative Adversarial Networks (GAN), and how to use GAN advanced deep learning in practice. The course will also introduce some of the recent advanced deep learning models (e.g., Transformer, ELMo, BERT) in NLP (natural language processing).

The course consists of lectures and hands-on exercises. Please bring a laptop.

Participation is free. Lunch and coffee/tea will be provided.

Course: Efficient MD simulations at HPC2N, 21 February 2019

  • Posted on: 12 December 2018
  • By: bbrydsoe

Course: Efficient MD simulations at HPC2N

The aim of the course is to provide MD users with a set of best practices to improve the performance of their simulations. This will be accomplished by tuning the appropriate SLURM switches and flags proper to the MD packages.

Topics to be covered are:

  1. Performance analysis of different versions of the packages
  2. Performance analysis on different architectures (CPU, GPU, KNL)
  3. General recommendations when using plugins.

Coffee/tea will be provided.


Updated: 2024-04-17, 14:47