EESSI: A cross-platform ready-to-use optimised scientific software stack |
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| Authors: | Bob Dröge Victor Holanda Rusu Kenneth Hoste Caspar van Leeuwen Alan O'Cais Thomas Röblitz |
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| Affiliation: | 1. Center for Information Technology, University of Groningen, Groningen, The Netherlands;2. Swiss National Supercomputing Centre, Eidgenössische Technische Hochschule Zürich, Zürich, Switzerland;3. Department of ICT, Ghent University, Ghent, Belgium;4. Compute Services, SURF, Amsterdam, The Netherlands;5. Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Jülich, Germany;6. IT Division, University of Bergen, Bergen, Norway |
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| 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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| Keywords: | high-performance computing scientific software supercomputing |
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