HPC2N
High Performance Computing Center North
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?
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?
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.
The course is a collaboration between HPC2N and LUNARC and consists of lectures alternating with practical sessions. The teaching language will be English. No prior experience in parallel computing is required. Participants are however expected to be able to write serial programs in C, C++ or Fortran. The course contents includes:
In this course we will cover the following topics:
OpenMP provides an efficient method to write parallel programs in C, C++ and Fortran. OpenMP programs are suitable for execution on shared memory architectures such as modern multi core systems or a single compute node of the HPC clusters deployed by LUNARC, HPC2N and within NAISS.
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.
Future of HPC programming: recent developments in Fortran
