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Effective High-Performance Computing & Data Analytics

People

Schenk O.

Course director

Henrique Löff J.

Assistant

Lechekhab M.

Assistant

Miotti P.

Assistant

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 26,  2024, at 11:30 CEST (Central European Summer Time).

Education

Prerequisite