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Effective High-Performance Computing & Data Analytics Summer School

Description

The Swiss National Supercomputing Centre (ETH Zurich / CSCS) and Università della Svizzera italiana (USI) are pleased to announce that the annual Summer School will be held exceptionally as an online course this year, at the time originally announced - from July 13 to July 24, 2020.

 

This summer school will focus on the effective exploitation of state-of-the-art hybrid High-Performance Computing (HPC) systems with a special focus on Data Analytics. The content of the course is tailored for intermediate graduate 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, code optimization, scientific libraries, and deep learning software frameworks.

 

The following topics will be covered:

 

•    GPU architectures

•    GPU programming

•    Performance optimization and scientific libraries

•    Interactive supercomputing (JupyterLab)

•    Python HPC libraries (Numpy/SciPy/Dask/Numba/CuPy)

•    Introduction to Machine Learning and GPU optimized frameworks (Rapids)

•    Deep Learning on HPC platforms (TensorFlow)

 

Extensive practical and exercise lab sessions will help to clarify and consolidate the theoretical material.

 

The examination method will be a quiz on the last day of the summer school program. The quiz will be done on iCorsi and covers all objectives and content of the course. It will include closed-ended questions (which will then be corrected automatically by the system) and open-ended questions (which will be corrected by the lecturers and professors).

 

For all additional information please refer to the following website:

https://www.cscs.ch/events/upcoming-events/event-detail/cscs-usi-summer-school-2020/

People

 

Schenk O.

Course director

Eftekhari A.

Assistant

Pasadakis D.

Assistant

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)