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isc25/EESSI/abstract.tex

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What if there was a way to avoid having to install a broad range of scientific software from scratch on every HPC
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cluster or cloud instance you use or maintain, without compromising on performance?
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Installing scientific software for supercomputers is known to be a tedious and time-consuming task. Especially as the
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HPC user community becomes more diverse, computational science expands rapidly, the diversity of system architectures
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increases the application software stack continues to deepen. Simultaneously, we see a surge in interest in cloud
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computing for scientific computing. Delivering optimised software installations and providing access to these
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Installing scientific software for supercomputers is known to be a tedious and time-consuming task. The application
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software stack continues to deepen as the
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HPC user community becomes more diverse, computational science expands rapidly, and the diversity of system architectures
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increases. Simultaneously, we see a surge in interest in public cloud
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infrastructures for scientific computing. Delivering optimised software installations and providing access to these
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installations in a reliable, user-friendly, and reproducible way is a highly non-trivial task that affects application
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developers, HPC user support teams, and the users themselves.
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This tutorial aims to address these challenges by providing the attendees with the knowledge to stream optimised
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scientific software. For this, the tutorial introduces European Environment for Scientific Software Installations
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This tutorial aims to address these challenges by providing the attendees with the tools to \emph{stream} the optimised
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scientific software they need. The tutorial introduces European Environment for Scientific Software Installations
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(\emph{EESSI}), a collaboration between various European HPC sites \& industry partners, with the common goal of
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creating a shared repository of scientific software installations that can be used on a variety of systems, regardless
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of which flavor/version of Linux distribution or processor architecture is used, or whether it’s a full size HPC
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creating a shared repository of scientific software installations (\emph{not} recipes) that can be used on a variety of
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systems, regardless
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of which flavor/version of Linux distribution or processor architecture is used, or whether it's a full size HPC
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cluster, a cloud environment or a personal workstation.
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We cover the usage of EESSI, different ways to accessing EESSI, how to add software to EESSI, and highlight some more
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advanced features. We will also show how to engage with the community and contribute to the project.
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advanced features. We will also show attendees how to engage with the community and contribute to the project.

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