pyperlin 1.1.0-foss-2022a-CUDA-11.7.0
GPU accelerated Perlin Noise in pythonAccessing pyperlin 1.1.0-foss-2022a-CUDA-11.7.0
To load the module for pyperlin 1.1.0-foss-2022a-CUDA-11.7.0 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):
📋
module load bear-apps/2022a
module load pyperlin/1.1.0-foss-2022a-CUDA-11.7.0
BEAR Apps Version
Architectures
EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30) — EL8-sapphirerapids
The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
More Information
For more information visit the pyperlin website.
Dependencies
This version of pyperlin has a direct dependency on: CUDA/11.7.0 foss/2022a matplotlib/3.5.2-foss-2022a Python/3.10.4-GCCcore-11.3.0 PyTorch/1.12.1-foss-2022a-CUDA-11.7.0
Last modified on 11th December 2023