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101-0250-00: Solving partial differential equations in parallel on GPUs

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Welcome to ETH course 101-0250-00 ✨ Second edition - Fall 2022

This course aims to cover state-of-the-art methods in modern parallel Graphical Processing Unit (GPU) computing, supercomputing and code development with applications to natural sciences and engineering.

Staff

The teaching staff is composed of:

Organisation

Course material

Course material, exercises and extra resources are available on the course website.

Detailed course description is available on the ETHZ course catalogue.

Live lectures

  • In person lectures will take place in HCI E8.
  • Online attendance will be possible on Zoom (ETH Students only - Password and password-less login available on Moodle).
  • Exercise session following-up the lecture will not be broadcasted (no online support will be provided during the exercise session).

Discussion

We encourage students to ask questions related to the course and the exercises as well as other technical issues on the course's Element chat.

Head to the course chat space (Element) to get started with Element.

Homework and Evaluation

Enrolled ETHZ students will have to hand in on Moodle (& GitHub):

  1. 5 (out of 6) weekly assignments (30% of the final grade) during the course’s Part 1. Weekly coding exercises can be done alone or in groups of two.
  2. A project during Part 2 (35% of the final grade). Projects submission includes codes in a git repository and an automatic generated documentation.
  3. A final project during Part 3 (35% of the final grade). Final projects submission includes codes in a git repository and an automatic generated documentation.

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