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Other literature type . 2025
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Project deliverable . 2025
License: CC BY
Data sources: Datacite
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Project deliverable . 2025
License: CC BY
Data sources: Datacite
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D4.5 HPC API and documentation

Authors: von Alfthan, Sebastian; Lehtonen, Juha A.; Prediger, Lukas; Svaton, Vaclav; Hulkkonen, Juha;

D4.5 HPC API and documentation

Abstract

This document describes HPC-API development for LUMI AI Factory. An HPC-API (High Performance Computing Application Programming Interface) is used to programmatically manage and interact with HPC environments. It functions for job management, like submitting and cancelling jobs on a supercomputer and querying their status, as well as handling data on the system. The HPC-APIs deployed to LUMI are used by access various software components that are being developed for the LUMI AI Factory. Modern AI (Artificial Intelligence) development often relies on an extensive underlying software environment to support the machine learning workloads running in the system. This document describes the deployment of a new HPC-API for LUMI. The aim is to set up an HPC-API that can be used with MLOps tools and containerized workflows to serve users of LUMI AI Factory in AI development tasks. The technology selected for this HPC-API is FirecREST developed by Swiss National Supercomputing Centre (CSCS). This document also describes HEAppE as an alternative approach. HEAppE, developed by IT4Innovations National Supercomputing Center (IT4I), is an open-source software framework that provides a secure and user-friendly interface to HPC resources. HEAppE is already used as part of some CSC services as well as isolated, dedicated HPC-API for some scientific projects.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green