BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260422T143139Z
LOCATION:B313B-B314
DTSTART;TZID=America/New_York:20241119T171500
DTEND;TZID=America/New_York:20241119T184500
UID:submissions.supercomputing.org_SC24_sess641_bof171@linklings.com
SUMMARY:Building a Global Data Streaming Community: Lessons Learnt, Potent
 ial Tools, Challenges and Opportunities — The European and U.S. Ecosystems
  Address the Latest Paradigm Shift Towards Global Data Streaming in Large 
 Data Systems
DESCRIPTION:Hans-Christian Hoppe (ETP4HPC, the European HPC Technology Pla
 tform; ParTec AG, Germany); Mike Little (Navteca in the Computational and 
 Information Sciences and Technology Office (CISTO) at NASA Goddard Spacefl
 ight Center, NASA); Ioan Hadade (European Centre for Medium-Range Weather 
 Forecasts (ECMWF)); Damien Gratadour (Observatoire de Paris, Director of E
 CLAT (Extreme Computing Lab for Astronomical Telescopes), member of SKA-Fr
 ance); and Laurent Morin (University of Rennes, France; The french laborat
 ory for research and innovation in digital science and technology (IRISA))
 \n\nData streaming is a proven, widely used technique. It’s not commonly u
 sed in HPC yet, but it can support critical applications with high societa
 l and scientific impact. This BoF examines use cases like Destination Eart
 h, Large Hadron Collider, Square Kilometre Array, Exa-AToW, and Earth syst
 ems digital twins by NASA, and discusses how to make streaming of measurem
 ent/sensor or simulation data useful in the context of such large, data-or
 iented initiatives, which all critically rely on HPC infrastructures.\n\nT
 he aim is starting a global HPC Data Streaming Community to examine lesson
 s learnt, adapt data streaming approaches and drive integration with HPC s
 ystems.\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass
 \n\n
END:VEVENT
END:VCALENDAR