RAPIDS

This article is a draft

This is not a complete article: This is a draft, a work in progress that is intended to be published into an article, which may or may not be ready for inclusion in the main wiki. It should not necessarily be considered factual or authoritative.

Overview

RAPIDS 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

Since RAPIDS is available as Conda packages which requires to have Anaconda for the installation, however Anaconda is not advised to use on the Compute Canada clusters. Instead, a container solution of using Singularity is recommended.

Singularity is a container solution that is supported on Compute Canada clusters. As RAPIDS is also available as Docker container images from NVIDIA, and a Singularity image for RAPIDS can be built based from a Docker image.