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boegel merged 2 commits into from
Dec 17, 2024
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Too much emphasising, too many including #37

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Too much emphasising, too many including
ocaisa Dec 17, 2024
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ocaisa Dec 17, 2024
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6 changes: 3 additions & 3 deletions isc25/EESSI/abstract.tex
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@@ -1,5 +1,5 @@
What if you could avoid installing a broad range of scientific software from scratch on every
supercomputer, cloud instance, or laptop you use or maintain, without compromising on performance?
supercomputer, cloud instance, or laptop you use or maintain\ldots without compromising on performance?

Installing scientific software is known to be a tedious and time-consuming task. The software stack
continues to deepen as computational science expands rapidly, the diversity of system architectures
Expand All @@ -19,9 +19,9 @@
This tutorial aims to address these challenges by introducing (i) \emph{CernVM-FS},
a distributed read-only filesystem designed to efficiently \emph{stream} software installations on-demand,
and (ii) the \emph{European Environment for Scientific Software Installations (EESSI)},
a shared repository of optimised scientific software installations (\emph{not} recipes) that can be used on a variety of
a shared repository of optimised scientific software installations (\underline{not} recipes) that can be used on a variety of
systems, regardless of which flavor/version of Linux distribution or processor architecture is used, or whether it's a full size HPC
cluster, a cloud environment, or a personal workstation.

Its covers installing and configuring CernVM-FS, the usage of EESSI,
The tutorial covers installing and configuring CernVM-FS, the usage of EESSI,
installing software into and on top of EESSI, and advanced topics like GPU support and performance tuning.
2 changes: 1 addition & 1 deletion isc25/EESSI/description.tex
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Expand Up @@ -38,7 +38,7 @@ \subsection*{Overview and Goals}
category.\footnote{\href{https://www.eessi.io/docs/blog/2024/11/18/hpcwire-readers-choice-awards-2024-for-eessi/}{https://www.eessi.io/docs/blog/2024/11/18/hpcwire-readers-choice-awards-2024-for-eessi/}}

EESSI is an initiative built on the foundations of the EasyBuild community, which is used by well over 100 HPC sites worldwide
(incl. JSC, CSCS, the Digital Research Alliance of Canada, LUMI, \ldots), and goes one step further by providing a
(such as JSC, CSCS, the Digital Research Alliance of Canada, LUMI, \ldots). EESSI goes one step further than EasyBuild by providing a
truly uniform software stack. It already has a wide spectrum of collaborators including SURF, BSC, Ghent University, etc.,
despite being a relatively young project.

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