HPC2N
High Performance Computing Center North
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:
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
HPC2N, together with Anders Sjöström, Application Expert from LUNARC, offer a 2 day special training event on MATLAB for HPC.
Requirements: Knowledge about MATLAB
Date: 2019-12-(05-06)
Time: 9:00-17:00 (2019-12-05), 9:00-15:00 (2019-12-06)
Location: N335 (Naturvetarhuset)
Instructors: Anders Sjöström, LUNARC (Lund)
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.
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.
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.
This one-day course will give a brief, but comprehensive introduction to Python for Scientific Computing. It will have lectures interspersed with hands-on sessions where you get to try out what you have just learned.
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:
Coffee/tea will be provided.
