Roadmap from Cornell - Introduction to CUDA

https://t.co/DuytwkIaNZ https://t.co/q7S28wqViL

Cornell Virtual Workshop: Introduction to CUDA

Source: https://cvw.cac.cornell.edu/cuda-intro This topic covers basicCUDAprogramming using the C programming language. A working knowledge of C and some understanding of GPU architecture and parallel computing are necessary for this topic. Thus, you may want to completeAn Introduction to C Programming,Understanding GPU Architecture, andParallel Programming Concepts and High-Performance Computingbefore beginning this topic. No prior experience with CUDA programming or GPUs is needed.

Should you need a reference, NVIDIA provides complete documentation for CUDA. Visit their website to see the latest versions of theirNVIDIA CUDA Runtime APIandCUDA C Programming Guide.

CUDA on Frontera or Vista at TACC

TheFrontera User GuideandVista User Guidehave just a few short sections on GPUs with information on node types, job submission, and machine learning software. TACC recommends visitingNVIDIA’s websiteto get the latest documentation on CUDA.

On Frontera or Vista, the CUDA Toolkit is located in$TACC\_CUDA\_DIR. Be sure to load the CUDAmoduleso that$TACC\_CUDA\_DIRis defined and the tools are found in your$PATH. To load this module, issue the command to load CUDA 12.2 on Frontera or CUDA 12.5 on Vista.