Journal Article FZJ-2022-03898

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EESSI: A cross‐platform ready‐to‐use optimised scientific software stack

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2023
Wiley Chichester [u.a.]

Software <Chichester> 53(1), 176-210 () [10.1002/spe.3075] special issue: "New Trends in High-Performance Computing: Software Systems and Applications"

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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.

Classification:

Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)
  2. ICEI - Interactive Computing E-Infrastructure for the Human Brain Project (800858) (800858)
  3. E-CAM - An e-infrastructure for software, training and consultancy in simulation and modelling (676531) (676531)

Appears in the scientific report 2023
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Medline ; Creative Commons Attribution-NonCommercial CC BY-NC 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; DEAL Wiley ; Essential Science Indicators ; IF < 5 ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Datensatz erzeugt am 2022-10-27, letzte Änderung am 2024-02-26


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