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Effective High-Performance Computing & Data Analytics Summer School

Description

This summer school will focus on the effective exploitation of state-of-the-art HPC systems with a special focus on Data Analytics. The content of the course is tailored for intermediate graduate students (students with a Master’s degree and PhD. students) interested in both learning parallel programming models, and having hands-on experience using HPC systems. 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, scientific libraries, and deep learning software frameworks. The following topics will be covered: GPU architectures, GPU programming, Message passing programming model (MPI), Performance optimization and scientific libraries, interactive supercomputing, Python libraries, Introduction to Machine Learning, and GPU optimized framework. The Summer School will be held from July 13 to 23, 2020 at the Steger Center in Riva San Vitale, located in the Italian area of Switzerland.

 

The summer school is organized together with the Swiss National Supercomputing Centre (CSCS). For additional information please refer to the following website: https://www.cscs.ch/events/upcoming-events/

People

 

Schenk O.

Course director

Additional information

Semester
Spring
Academic year
2019-2020
ECTS
6
Language
English
Education
Master of Science in Computational Science, Elective course, Lecture & Problem Based Learning Sessions, 1st year

Master of Science in Computational Science, Elective course, Lecture & Problem Based Learning Sessions, 2nd year

PhD programme of the Faculty of Informatics, Summer School, Lecture & Problem Based Learning Sessions, 2nd year (4 ECTS)

PhD programme of the Faculty of Informatics, Summer School, Lecture & Problem Based Learning Sessions, 1st year (4 ECTS)