The call for applications is now closed.


Graphics Processing Units (GPUs) offer high performance and massive parallelization, but learning how to program GPUs for scientific applications can be daunting. To help reduce the barrier to entry, Princeton will host its 2nd annual GPU hackathon, organized and sponsored by NVIDIA, Oak Ridge Leadeship Computing Facility (OLCF), and Princeton Institute for Computational Science & Engineering (PICSciE)and OIT Research Computing.

A guide for what to expect as an attendee can be found here. For more information,  please visit the Princeton GPU Hackathon landing page.

All fields are welcome, from astrophysics to machine learning to genomics. Although Princeton and Princeton-area teams will be given priority, a Princeton affiliation is not required, so please forward this announcement to interested colleagues from neighboring institutions. Prior hackathon participants are also welcome to apply, but they should explicitly address in their applications the additional value they hope to gain from attending the hackathon again.

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