ScaDS.AI-Tutorial: Machine Learning on HPC - Introduction

Due to the heterogeneity of Machine Learning applications, the motivation to switch to an HPC system can be manifold, e.g. due to large memory requirements, GPU usage or increase of computation speed. The course presents how a typical Machine Learning workflow can be realized in the HPC environment. It is possible to switch to the HPC system at different points in the workflow – depending on the requirements. The development of Machine Learning applications is often done by collaborative work within groups, which is also taken into account in the implementation of the Machine Learning workflow.

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