International HPC Summer School 2020

July 12-17, Toronto, Canada

Graduate students and postdoctoral scholars from institutions in Canada, Europe, Japan and the United States are invited to apply for the 11th International HPC Summer School, to be held July 12-17, 2020 in Toronto, Canada, hosted by the SciNet HPC Consortium. Applications are due January 27, 2020. The summer school is sponsored by the Partnership for Advanced Computing in Europe (PRACE), the Extreme Science and Engineering Discovery Environment (XSEDE), the RIKEN Center for Computational Science (R-CCS) and the SciNet HPC Consortium.

The summer school will familiarize the best students in computational sciences with major state-of-the-art aspects of HPC and Big Data Analytics for a variety of scientific disciplines, catalyze the formation of networks, provide advanced mentoring, facilitate international exchange and open up further career options.

Leading Canadian, European, Japanese and American computational scientists and HPC technologists will offer instruction in parallel sessions on a variety of topics such as:

  • HPC and Big Data challenges in major scientific disciplines
  • HPC programming proficiencies
  • Performance analysis and profiling
  • Software engineering
  • Numerical libraries
  • Big data analysis and analytics
  • Deep learning
  • Scientific visualization
  • Canadian, European, Japanese and U.S. HPC-infrastructures

The expense-paid program will benefit scholars from Canadian, European, Japanese and U.S. institutions who use advanced computing in their research. The ideal candidate will have many of the following qualities, however this list is not meant to be a “checklist” for applicants to meet all criteria:

  • A graduate student in computational sciences with a strong research plan or a postdoctoral fellow in the early stages of their research efforts
  • Familiar with HPC, not necessarily an HPC expert, but rather a scholar who could benefit from including advanced computing tools and methods into their existing computational work
  • Regular practice with parallel programming
  • Science or engineering background, however, applicants from other disciplines are welcome provided their research activities include computational work

Students from under-represented groups in computing are highly encouraged to apply (i.e. women, racial/ethnic minorities, persons with disabilities, etc.). If you have any questions regarding your eligibility or how this program may benefit you or your research group, please do not hesitate to contact the individual(s) associated with your region.