Available NVIDIA CUDA Compilers
| Module | Version | Module Load Command |
|---|---|---|
| cuda | 11.0.228 | module load gcc/9.2.0 cuda/11.0.228 |
| cuda | 10.1.168 | module load cuda/10.1.168 |
| cuda | 10.2.89 | module load cuda/10.2.89 |
| cuda | 11.0.228 | module load cuda/11.0.228 |
| cuda | 9.2.148.1 | module load cuda/9.2.148.1 |
| Module | Version | Module Load Command |
|---|---|---|
| nvhpc | 20.9 | module load nvhpc/20.9 |
GPU architecture -arch
According to the CUDA documentation, “in the CUDA naming scheme, GPUs are named sm_xy, where x denotes the GPU generation number, and y the version in that generation.” The documentation contains details about the architecture and the corresponding xy value. On Rivanna, the GPU nodes are K80, P100, V100, and RTX 2080 Ti, which are Kepler, Pascal, Volta, and Turing, respectively. In summary, please use the following values when compiling CUDA code on Rivanna.
| GPU Type | Architechture | xy |
CUDA Version |
|---|---|---|---|
| K80 | Kepler | 37 | 5 - 10 (deprecated from 11) |
| P100 | Pascal | 60 | 8+ |
| V100 | Volta | 70 | 9+ |
| RTX 2080 Ti | Turing | 75 | 10+ |
Therefore, if you need your code to work on all GPU types, please load CUDA version 10:
module load cuda/10.2.89
and provide a list of NVCC flags, e.g.
-gencode arch=compute_37,code=sm_37 \
-gencode arch=compute_60,code=sm_60 \
-gencode arch=compute_70,code=sm_70 \
-gencode arch=compute_75,code=sm_75