Open programme High Performance Computing and Big Data

As researcher or engineer you might frequently be impeded in your work by physical limitations of the available ICT equipment: processing and storage capacity, visualization facilities and their integration. Up-scaling to high performance computing (HPC) facilities could be very beneficial to your work, but how does this work and what are your options? In this course you will be introduced to various HPC facilities by researchers from the UvA and HPC experts from SURFsara.



hpc course flyer

When

June 2018 at the University of Amsterdam

Target group

Researchers and (Master's) students

Objective

During the course you will learn how to use various HPC facilities. You will have the opportunity to discuss your specific problems with experts and work on solutions using SURFsara's state-of-the-art computing facilities. The course is taught in English. In ten sessions, a number of independent modules touching on various HPC and Big Data issues will be addressed:

  • Introduction to Unix, distributed systems, and Big Data
  • Using state-of-the-art Super Computers (with hands-on on the National Super Computer Cartesius and the Lisa cluster)
  • HPC Cloud
  • GPU programming
  • Local and Remote Visualization Techniques
  • Data management
  • Data Intensive Computing with Hadoop: MapReduce and Pig
  • MPI/OpenMP approaches used in HPC and distributed computing

Tuition fee

  • Staff and Master's students UvA and VU: Free
  • Participants from other universities: €300
  • Participants from outside academia: €3000

These tuition fees are for the entire course. Should you only wish to attend some of the workshops, you pay per workshop (i.e. there are ten workshops, so €30 per session for participants from other universities, or €300 per session for participants from outside academia).

Registration

For more information and to register, please visit the course website. For questions, you may contact Boy Menist: b.n.j.menist@uva.nl


Mode
Short-term
Conditions for admission
Open
Language of instruction
English
Starts in
June

Published by  Faculty of Science