A Hybrid Approach to Scientific Software Package Management on an HPC Cluster

Authors: Qiyang Hu and Shao-Ching Huang (University of California, Los Angeles (UCLA))

Abstract: We present a practical approach for managing the scientific packages in the HPC cluster environment of a research university environment that has a diverse user base. The primary goal is to minimize the HPC operational team’s burden of installing and maintaining a large number of software packages to support the broadband spectrum of the university’s computational research. We propose a hybridizing management method that can harness the power of modern software management frameworks and the flexibility of in-house, or “manual”, installation sources, and at the same time present a coherent view to the end users. The Spack framework was used in this work. Our hybrid approach is applicable to using other framework tools. The manipulation of Spack-generated environment module files and the typical workflow are illustrated and discussed based on our use case.

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