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 4th annual GPU hackathon, organized and sponsored by NVIDIA,

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 4th annual GPU hackathon, organized and sponsored by NVIDIA,

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 4th annual GPU hackathon, organized and sponsored by NVIDIA,

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 4th annual GPU hackathon, organized and sponsored by NVIDIA,