Solving PDEs in parallel on GPUs with Julia

🎉 Welcome to ETH's course 101-0250-00L on solving partial differential equations (PDEs) in parallel on graphical processing units (GPUs) with the Julia programming language.

Announce: 2022 edition starts Tuesday Sept. 20, 12h45. Welcome!

Course informations

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


The goal of this course is to offer a practical approach to solve systems of differential equations in parallel on GPUs using the Julia programming language. Julia combines high-level language conciseness to low-level language performance which enables efficient code development. The Julia GPU applications will be hosted on a git-platform and implement modern software development practices.


Detailed content is available on ETHZ course catalogue

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Teaching staff