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

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Welcome to ETH course 101-0250-00 ✨ 4th edition - Fall 2024

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:

• Ivan Utkin - ETHZ / WSL
• Ludovic Räss - Unil / ETHZ
• Mauro Werder - WSL / ETHZ
• Samuel Omlin - CSCS, ETHZ
• Teaching Assistant: You Wu - ETHZ

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

All homework assigments can be done alone or in groups of two.

Enrolled ETHZ students will have to hand in on Moodle and GitHub:

1. Six weekly assignments during the course's Part 1 and Part 2 constitute 30% of the final grade. The best five out of six homeworks will be counted.
2. A project developed during Part 3 of the course consitutes 35% of the final grade
3. A final project consitutes 35% of the final grade

Project submission includes code in a Github repository and an automatically generated documentation.

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Admin

• website-memo document
• 🔗 staff resources