Workshop deep learning for High Performance Computing
Find out how to accelerate your numerical HPC simulations using deep learning.
Deep learning for high performance computing
Are you working with large numerical simulations that take days or months to run, even on a supercomputer? And could you do much more – or even new – science if those simulations ran faster? Then you may want to learn if deep learning could help you accelerate your numerical simulation code.
Many of the traditional workloads on supercomputers are large, numerical simulations. With the increasing success of deep learning in various applications, the SURF Open Innovation Lab together with its university partners has taken the first exploratory steps to discover how deep learning can be used to augment these traditional simulations. Can it be used to accelerate your code? Or can it improve the accuracy of your results, in the same computational time?
In this workshop, we share our experiences and challenge you to think about opportunities for applying deep learning to accelerate numerical simulations in your field. During our round table sessions, you can discuss opportunities you see within your domain with deep learning experts and other numerical simulation researchers.
PIs & (senior) researchers that use or develop large, numerical simulations.
Programme and registration
|12.00||Registration & lunch|
|13.15||Keynote: About an overview of deep learning techniques and applications (TBA)|
|14.00||SURF presentation: here you can hear everything about deep learning techniques to accelerate and improve HPC simulations.|
|14.45||Round table sessions: here you can discuss HPC simulations and brainstorm about opportunities to accelerate and increase them with deep learning. Deep learning experts join these sessions.|
|15.45||Round table sessions (continued): here you can discuss HPC simulations and brainstorm about opportunities to accelerate and increase them with deep learning. Deep learning experts join these sessions.|
|16.45||Drinks & bites|
For more information, please contact Caspar van Leeuwen (SURFsara): email@example.com