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).
Fall Break 2026 Parallel Programming & GPU Bootcamp
Scaling Research Applications with Profiling
Princeton GPU User Group
See all Research Computing workshops
Subscribe to Research Computing Mailing List
GPU Computing at Princeton
Princeton Open Hackathon
Resource List by Open Hackathons
Training Archive at Oak Ridge National Laboratory
LeetGPU - Free GPU Simulator
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.