International HPC Summer School 2016

IHPCSS-2016-Ljubljana-group-441

The seventh International HPC summer school in 2016 took take place in Ljubljana, the capital of Slovenia and European Green Capital 2016, from June 26 to July 1. This unique event brought together 80 excellent students from many parts of the world, to participate for one week in an exciting program coupled with dedicated mentoring and networking.

Call for applications (outdated): Graduate students and postdoctoral scholars from institutions in Europe, Canada, Japan and the United States are invited to apply for the seventh International Summer School on HPC Challenges in Computational Sciences, to be held June 26 РJuly 1, 2016, in Ljubljana, Slovenia. Applications are due February 15th, 2016. The summer school is sponsored by Compute/Calcul Canada, the Extreme Science and Engineering Discovery Environment (XSEDE) with funds from the U.S. National Science Foundation, the Partnership for Advanced Computing in Europe (PRACE) and the RIKEN Advanced Institute for Computational Science (RIKEN AICS).

Leading European, Canadian, Japanese and American computational scientists and HPC technologists will offer instruction on a variety of topics, including:

  • HPC challenges by discipline (e.g, earth, life and materials sciences, physics)
  • HPC Programming Proficiencies
  • Performance analysis and profiling
  • Algorithmic approaches and numerical libraries
  • Data-intensive computing
  • Scientific visualization
  • Canadian, EU, Japanese and U.S. HPC-infrastructures

The expense-paid program will benefit advanced scholars from European, Canadian, Japanese and U.S. institutions who use HPC to conduct research. Interested students should apply by February 15th, 2016. Meals and housing will be covered for the selected participants, also travel from outside Europe. Applications from graduate students and postdocs in all science and engineering fields are welcome. Preference will be given to applicants with parallel programming experience, and a research plan that will benefit from the utilization of high performance computing systems.