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Overview

RAPIDS^[1] is a suite of open source software libraries from NVIDIA mainly for executing data science and analytics pipelines on GPUs. It relies on NVIDIA CUDA primitives for low level compute optimization and provides users with friendly Python APIs, similar to those in Pandas, Scikit-learn, etc.

This page provides the instructions for working with RAPIDS on Compute Canada clusters based from a Singularity container.

Build a Singularity image for RAPIDS

Work on Clusters with a RAPIDS Singularity image

Work interactively on a GPU node

Submit a RAPIDS job to Slurm scheduler

Helpful Links

↑ RAPIDS Open GPU Data Science : https://rapids.ai/

[1] RAPIDS Open GPU Data Science : https://rapids.ai/

[1]