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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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Detalles Bibliográficos
Autor principal: Bussmann, Michael
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2691421
Descripción
Sumario:<!--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>