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Interactive, data-intensive HPC

<!--HTML--><div> <div> <div> <p>Complex scientific questions at large scale user facilities strongly&nbsp;involve the user at every step of experimental planning. The data deluge&nbsp;these users have to deal with is strongly coupled to an increasing&nbsp;di...

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Autor principal: Bussmann, Michael
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2691421
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author Bussmann, Michael
author_facet Bussmann, Michael
author_sort Bussmann, Michael
collection CERN
description <!--HTML--><div> <div> <div> <p>Complex scientific questions at large scale user facilities strongly&nbsp;involve the user at every step of experimental planning. The data deluge&nbsp;these users have to deal with is strongly coupled to an increasing&nbsp;difficulty in inverting data unambiguously. Thus, combining inverse&nbsp;methods with forward solutions during experiments will become the norm,&nbsp;making, challenging existing data analysis workflows that aim for&nbsp;automatic real time data reduction. In this talk we discuss both&nbsp;challenges and paths to address them, fusing high performance computing&nbsp;with desktop-like, interactive workflows that enable users&nbsp;inexperienced in HPC to use large-scale data analysis effectively.</p> </div> </div> </div>
id cern-2691421
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
record_format invenio
spelling cern-26914212022-11-02T22:31:43Zhttp://cds.cern.ch/record/2691421engBussmann, MichaelInteractive, data-intensive HPCInteractive, data-intensive HPCEP-IT Data science seminars<!--HTML--><div> <div> <div> <p>Complex scientific questions at large scale user facilities strongly&nbsp;involve the user at every step of experimental planning. The data deluge&nbsp;these users have to deal with is strongly coupled to an increasing&nbsp;difficulty in inverting data unambiguously. Thus, combining inverse&nbsp;methods with forward solutions during experiments will become the norm,&nbsp;making, challenging existing data analysis workflows that aim for&nbsp;automatic real time data reduction. In this talk we discuss both&nbsp;challenges and paths to address them, fusing high performance computing&nbsp;with desktop-like, interactive workflows that enable users&nbsp;inexperienced in HPC to use large-scale data analysis effectively.</p> </div> </div> </div>oai:cds.cern.ch:26914212019
spellingShingle EP-IT Data science seminars
Bussmann, Michael
Interactive, data-intensive HPC
title Interactive, data-intensive HPC
title_full Interactive, data-intensive HPC
title_fullStr Interactive, data-intensive HPC
title_full_unstemmed Interactive, data-intensive HPC
title_short Interactive, data-intensive HPC
title_sort interactive, data-intensive hpc
topic EP-IT Data science seminars
url http://cds.cern.ch/record/2691421
work_keys_str_mv AT bussmannmichael interactivedataintensivehpc