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:20250626T234542Z
LOCATION:B314
DTSTART;TZID=America/New_York:20241118T120000
DTEND;TZID=America/New_York:20241118T123000
UID:submissions.supercomputing.org_SC24_sess758_misc381@linklings.com
SUMMARY:Fugaku-Next: An Application Prospective
DESCRIPTION:Jens Domke (RIKEN) and Takashi Shimokawabe (The University of 
 Tokyo, Japan)\n\nRIKEN is conducting a feasibility study for the next-gene
 ration supercomputing infrastructure “Fugaku-Next” by the Ministry of Educ
 ation, Culture, Sports, Science and Technology (MEXT). Fugaku-Next is expe
 cted to become a platform for achieving the SDGs and Society 5.0 by provid
 ing advanced digital twins. We are working as an application group for the
  RIKEN team. The application group is composed of two subgroups: one that 
 conducts research activities in the fields of computational science, data 
 science, and social science, and the other that conducts research activiti
 es mainly in the field of computer science, such as performance modeling a
 nd benchmark construction. In this presentation, we will introduce an over
 view of the recent activities of the application group of the RIKEN team a
 nd some results of performance modeling for applications.\n\nTag: Artifici
 al Intelligence/Machine Learning, Codesign\n\nRegistration Category: Works
 hop Reg Pass\n\nSession Chairs: John Feo (Pacific Northwest National Labor
 atory (PNNL)), Jiyuan Zhang (Meta), and Amelie Chi Zhou (Hong Kong Baptist
  University)\n\n
END:VEVENT
END:VCALENDAR