Computing with GPUs
Updated: March 31, 2023
Edit this Page via GitHub Comment by Filing an Issue Have Questions? Ask them here.Requesting GPUs
GPUs are requested via the --gpus
option:
sbatch --gpus=1 ...
Specific GPU models (see table below) can be requested by indicating model and count:
sbatch --gpus=rtx2080ti:1 ...
Nodes GPUs
Location | Partition | Node Name | GPU |
---|---|---|---|
FHCRC | all | j | NVIDIA GTX 1080ti |
FHCRC | all | k | NVIDIA RTX 2080ti |
FHCRC | none (interactive use) | rhino | NVIDIA RTX1080ti |
Using GPUs
When your job is assigned a GPU, Slurm sets the environment variable CUDA_VISIBLE_DEVICES. This environment variable indicates the assigned GPU- most CUDA tools (e.g. tensorflow) use this to restrict execution to that device.
Updated: March 31, 2023
Edit this Page via GitHub Comment by Filing an Issue Have Questions? Ask them here.