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ZENODO
Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Presentation . 2026
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2026
License: CC BY
Data sources: Datacite
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Extreme Data and processing by Supercomputing in practice - EXAKI training

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 17 Apr 2026Publisher:ZenodoFunded by:EC | EXA4MIND
Authors: Martin Golasowski; The EXA4MIND Consortium;

doi: 10.5281/zenodo.19627437 , 10.5281/zenodo.19627436

Extreme Data and processing by Supercomputing in practice - EXAKI training

Abstract

In this training, Martin Golasowski (IT4Innovations) introduces how the EXA4MIND extreme data platform uses supercomputing and automated data pipelines to handle large-scale data efficiently. Through practical examples from automotive AI, Earth observation, and molecular dynamics, it shows how extreme data technologies enable real results across different industries.

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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).
    		 0
    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.
    		 Average
    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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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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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
Funded by