The award program has been organized to reward the best open source contributions of 2022. All contributions were eligible for application: it could be an open-source plugin, a pull-request on GitHub, a video, a tutorial or documentation pages.
The SOFA Award strongly motivated me to dig into the code of SOFA and contribute way more to the open-source!
The program included two prizes. The winners have been announced on 16th November during the 2022 SOFA Symposium:
| Organizers’ Prize Prize: 600€ |
Public Prize Prize: 400€ |
|---|---|
| Scheikl, Paul Maria (KIT, Germany) Memento Memory |
Despierre, Stéphane (University of Lille, France) Plugin: Linear Solver on GPU |
| Trying to use sofa as a simulation environment for Reinforcement Learning, I discovered a few bugs and memory leaks that would not occur for “normal” usage of SOFA. I would like to present my workflow of finding and fixing them. | Under Alexandre Bilger‘s supervision, Stéphane used the Nvidia toolkit to allow the usage of a GPU on the resolution of linear systems. This new solver keeps the optimizations already available in the previous sparse solvers (precomputed symbolic decomposition, fill-in reducing permutations).
This plugin is ready and released. |
Find all award candidates on the 2022 Award page here.
Congratulations to Paul & Stéphane!
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