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ZENODO
Conference object . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Conference object . 2023
License: CC BY
Data sources: Datacite
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BioDT poster at ISC 2023

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 21 May 2023 English Publisher:ZenodoFunded by:EC | BioDT
Authors: Martinovic, Tomas; Drago, Federico;

doi: 10.5281/zenodo.8033683 , 10.5281/zenodo.8033682

BioDT poster at ISC 2023

Abstract

ISC High Performance 2023 is a highly-anticipated annual event that provides a valuable opportunity for public and industry users to connect with technology developers. Taking place in Hamburg, Germany from May 21st to May 25th, 2023, this year's conference features a rich program of keynotes, tutorials, workshops, and focused sessions centered around high-performance computing, machine learning, data analytics, and quantum computing. BioDT partners presented the poster at the IT4I booth.

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Keywords

HPC, Biodiversity, Digital Twins

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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!
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