| Home > Publications database > EESSI: A cross‐platform ready‐to‐use optimised scientific software stack |
| Journal Article | FZJ-2022-03898 |
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2023
Wiley
Chichester [u.a.]
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Please use a persistent id in citations: http://hdl.handle.net/2128/33194 doi:10.1002/spe.3075
Abstract: Getting scientific software installed correctly and ensuring it performs well has been a ubiquitous problem for several decades now, which is compounded currently by the changing landscape of computational science with the (re-)emergence of different microprocessor families, and the expansion to additional scientific domains like artificial intelligence and next-generation sequencing. The European Environment for Scientific Software Installations (EESSI) project aims to provide a ready-to-use stack of scientific software installations that can be leveraged easily on a variety of platforms, ranging from personal workstations to cloud environments and supercomputer infrastructure, without making compromises with respect to performance. In this article, we provide a detailed overview of the project, highlight potential use cases, and demonstrate that the performance of the provided scientific software installations can be competitive with system-specific installations.
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