Due to challenges posed by the Covid-19 pandemic, the organizers regret to announce that the 11th International HPC Summer School can no longer be safely held as an in-person event on July 12-17, 2020 in Toronto, Canada. The school will be postponed for one year and we are making preliminary plans to organise the school at the same venue in Toronto in July 2021.
Candidates who have been accepted into the school and those who are on waiting lists will be informed soon about their options.
Details about the 2020 International HPC Summer School
Graduate students and postdoctoral scholars from institutions in Canada, Europe, Japan and the United States were invited to apply for the 11th International HPC Summer School, originally planned to be held July 12-17, 2020 in Toronto, Canada, hosted by the SciNet HPC Consortium. The call for applications was opened on November 29, 2019 and closed on January 27, 2020. Applications were reviewed and successful candidates were notified in March 2020.
However, due to uncertainties posed by the Covid-19 pandemic, the final decision on whether to proceed with an in-person event was deferred until the organizers formally announced on April 16, 2020 that the event can no longer safely proceed as originally planned. Having consulted with the successful candidates and school trainers, the organizing committee decided to postpone the event by one year. Plans are already under way to hold the 2021 school at the same venue in Toronto, Canada in July.
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.
