This guide provides materials for getting started with running GPU codes on the Princeton Research Computing clusters. It also provides an introduction to writing CUDA kernels and examples of using the NVIDIA GPU-accelerated libraries (e.g., cuBLAS).
Princeton GPU User Group
Fall Break Parallel Programming Bootcamp (October 14-15, 2024) [see 2023 schedule]
See all PICSciE/RC workshops
Subscribe to PICSciE/RC Mailing List
GPU Computing at Princeton
2024 Princeton GPU Hackathon
Resource List by Open Hackathons
Training Archive at Oak Ridge National Laboratory
CUDA C++ Programming Guide by NVIDIA
CUDA Fortran Programming Guide by NVIDIA
Intro to CUDA Blog Post
Online Book Available through PU Library
Princeton A100 GPU Workshop
If you encounter any difficulties with this material then please send an email to cses@princeton.edu or attend a help session.
This guide was created by Jonathan Halverson and members of Princeton Research Computing.