Software: RAPIDS
Description
The RAPIDS suite of software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.
Available Versions
| Anvil: | 0.12 0.13 0.14 0.15 0.16 0.17 21.06 21.10 |
|---|---|
| Gilbreth: | 0.12 0.13 0.14 0.15 0.16 0.17 21.06 21.10 |
| Scholar: | 0.12 0.13 0.14 0.15 0.16 0.17 21.06 21.10 |
Module
You can load the modules by:
module load ngc
module load rapidsai
Example job
Using
#!/bin/sh -las shebang in the slurm job script will cause the failure of some biocontainer modules. Please use#!/bin/bashinstead.
To run rapidsai on our clusters:
#!/bin/bash
#SBATCH -A myallocation # Allocation name
#SBATCH -t 1:00:00
#SBATCH -N 1
#SBATCH -n 1
#SBATCH -c 8
#SBATCH --gpus-per-node=1
#SBATCH --job-name=rapidsai
#SBATCH --mail-type=FAIL,BEGIN,END
#SBATCH --error=%x-%J-%u.err
#SBATCH --output=%x-%J-%u.out
module --force purge
ml ngc rapidsai