%0 Journal Article
%A Dröge, Bob
%A Holanda Rusu, Victor
%A Hoste, Kenneth
%A Leeuwen, Caspar
%A O'Cais, Alan
%A Röblitz, Thomas
%T EESSI: A cross‐platform ready‐to‐use optimised scientific software stack
%J Software 
%V 53
%N 1
%@ 0038-0644
%C Chichester [u.a.]
%I Wiley
%M FZJ-2022-03898
%P 176-210
%D 2023
%X 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.
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:000756126400001
%R 10.1002/spe.3075
%U https://juser.fz-juelich.de/record/910515