Effective High-Performance Computing & Data Analytics
People
Description
This CSCS/USI summer university course will focus on the effective exploitation of state-of-the-art hybrid High-Performance Computing (HPC) systems with a special focus on Data Analytics.
Starting from an introductory explanation of the available systems at CSCS, the course will progress to more applied topics such as parallel programming on accelerators, code optimization, scientific libraries, and deep learning software frameworks.
- GPU architectures
- GPU CUDA programming
- Performance optimization and scientific libraries (Kokkos)
- Python HPC libraries (Numpy/SciPy/Dask/Numba)
The course "Effective High-Performance Computing & Data Analytics" will be offered online as well also to allow double-degree Master's students and EUMaster4HPC Master's students to enroll. The summer university will be organized from Saturday, July 6, 2024 15:00 – Friday, July 12, 2024 17:30.
Further information and content on registration is available on the Summer University 2024 page.
Objectives
The content of the course is tailored for intermediate graduate students (3rd year Bachelor's students, Master’s students, and Ph.D students) interested in both learning parallel programming models and having hands-on experience using HPC systems.
Teaching mode
In presence
Learning methods
Extensive practical and exercise lab sessions.
Examination information
The examination method will be an online quiz on the last day of the summer university program on Friday, July 12, 2024, at 11:00 CEST (Central European Summer Time).
Education
- Master of Science in Artificial Intelligence, Lecture, Elective, 1st year
- Master of Science in Artificial Intelligence, Lecture, Elective, 2nd year
- Master of Science in Computational Science, Lecture, Elective, 1st year
- Master of Science in Computational Science, Lecture, Elective, 2nd year (4.0 ECTS)
- PhD programme of the Faculty of Informatics, Lecture, Elective, 1st year (4.0 ECTS)
Prerequisite
- High-Performance Computing, Schenk O., Holt T. A. B., Lechekhab M., SA 2021-2022