The HPC and Data Science Summer Institute is a week-long workshop held at the University of California, San Diego focusing on a broad spectrum of introductory-to-intermediate topics in High Performance Computing and Data Science. The program is aimed at researchers in academia and industry, especially in domains not traditionally engaged in supercomputing, who have problems that cannot typically be solved using local computing resources.
The Summer Institute will continue with a two part structure in response to the needs of our diverse user base and the increasingly diverse suite of resources and services that they need to utilize (often referred to as cyberinfrastructure). We recognize that while many researchers still need to write and parallelize their own software, a significant number of users of our supercomputers are not parallel/HPC/CI programmers (“non-programmers”). Rather, they use existing, robust third-party applications to solve problems in fields as diverse as phylogenetics, genomics, molecular biology, computational chemistry, material science, climate simulation and others. Nonetheless, these non-programmers still need to acquire specialized skills in order to effectively use advanced cyberinfrastructure. This year’s Summer Institute is structured to support both programmers and non-programmer as well as those who can benefit from both.
Apply Today!
Deadline: Friday, May 19, 2023
- Preparation Day (virtual): August 2, 2023
- Summer Institute (in-person): August 7 – August 11, 2023
- Location: SDSC Auditorium, UC San Diego
Testimonials:
"Yes, definitely. It was considerate of all levels: from beginner to advanced, so everybody was accommodated and learned something new. It helped me understand what goes on in the background when working with AI and ML, in addition to being introduced to pretty useful new tools for HPC like Singularity. And all this with hands-on exercises that were so well organized! Thank you again for such informative and hands-on training!" - Selbi, 2022 HPC/DS attendee
"Yes, this program is highly recommended for any researcher with computational work on big data!" - HungChung, 2022 HPC/DS attendee
Full details can be found on the website.