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DTSTAMP:20230831T095745Z
LOCATION:Seehorn
DTSTART;TZID=Europe/Stockholm:20230626T143000
DTEND;TZID=Europe/Stockholm:20230626T150000
UID:submissions.pasc-conference.org_PASC23_sess132_msa178@linklings.com
SUMMARY:Data Centric Computing & the Computing Continuum, the IO-SEA Proje
 ct Proposal
DESCRIPTION:Minisymposium\n\nPhilippe Couvée (Atos)\n\nMore and more High-
 Performance Computing workflows are based upon data collected in the field
  and some of them require a careful design in term of data management. For
  instance, tsunami risk prediction processes data collected from seismic s
 ensors spread around the world. When seismic waves are detected, the workf
 low must be run as fast as possible to evaluate the tsunami risk and possi
 bly raise an alert. We will present in this talk how the concepts and tool
 s developed in the European funded IO-SEA project can be used to implement
  such “distributed data centric” workflows. We introduce the concepts of d
 atasets and namespaces to group data into sets that can be manipulated as 
 a whole (moved, copied, archived…). Datasets are made accessible to comput
 ing resources through ephemeral I/O services running on dedicated "data no
 des" optimized for handling large quantities of data. Users specify which 
 datasets are required to execute their workflow steps, and the runtime env
 ironment sets up the ephemeral I/O services accordingly. Users can also co
 ntrol data movement within the storage hierarchy to optimize time-to-solut
 ion, keeping frequently accessed data in the fastest storage tiers.\n\nDom
 ain: Computer Science, Machine Learning, and Applied Mathematics 
\n\nSess
 ion Chair: François Tessier (INRIA)
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