Step up to supercomputing with the HPC Course at the Vrije Universiteit

In this course you will learn about tools and workflows that you can use in your research to manage big data and/or big computation tasks.

The presentations and hands-on workshops are targeted at PhD level students, who would like to get started with HPC. Examples from daily practice will be used. You will learn to use linux computers and supercomputers to deploy computationally intensive tasks. To use cloud systems and Apache Spark software on the Hadoop cluster to perform big data analyses.

You will have the opportunity to learn from fellow researchers, from experts from different knowledge fields and technical experts.

After the course you will have a broader and deeper knowledge and hands-on experience with HPC and data analytics to use in your own research.

The next course starting 14 and 15 november will target
Day 1: Linux and Cluster Computing
Day 2: Machine learning with Lisa GPUs
Register below

Also visit the lunch seminar on Research Computing in the Global Room wednesday november 13th, see https://www.meetup.com/VU-International-Staff/events/265369408/

Free for PhD from VU/UvA

Free for PhD from VU/UvA

Members of VU and UvA: free
Participants from other research institutions: € 30
Participants from outside the academic sector: € 300

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Registration is closed (full)

Registration is closed (full)

On the 14th and 15th november 2019 there will be a 2 day course targeted at (future) users of Lisa supercomputer.
day 1: Linux and cluster computing
day 2: Machine learning with Lisa GPUs

Complemantary courses that may be of interest:

- Data Management with iRODS and Compute (30 October) https://events.prace-ri.eu/event/899/overview
- Making your research reproducible (6-7 November) https://sara-nl.github.io/2019-11-06-Reproducibility/
- Scientific visualization with Blender (3rd December) https://events.prace-ri.eu/event/934/
- Parallel and GPU Programming in Python (9-10 December)

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Why enroll?

Why enroll?

To learn about the available HPC facilities
To become familiar with HPC applications that can be used within your discipline,

To learn how to use the infrastructure efficiently, to speed up results or to scale up existing applications (e.g., applications that currently run on a desktop)