BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260615T072748Z
LOCATION:Bldg. 6 - Room 004
DTSTART;TZID=Europe/Stockholm:20260629T113000
DTEND;TZID=Europe/Stockholm:20260629T120000
UID:submissions.pasc-conference.org_PASC26_sess168_pap114@linklings.com
SUMMARY:Contiguous Storage of Grid Data for Heterogeneous Computing
DESCRIPTION:Xiangyu Hu and Fan Gu (Technical University of Munich)\n\nStru
 ctured Cartesian grids are a fundamental component in numerical simulation
 s.  Although these grids facilitate straightforward discretization schemes
 , their na\"{i}ve use in sparse domains leads to excessive memory overhead
  and inefficient computation. Existing frameworks address are primarily op
 timized for CPU execution and exhibit performance bottlenecks on GPU archi
 tectures due to limited parallelism and high memory access latency. This w
 ork presents a redesigned storage architecture optimized for GPU compatibi
 lity and efficient execution across heterogeneous platforms. By abstractin
 g low-level GPU-specific details and adopting a unified programming model 
 based on SYCL, the proposed data structure enables seamless integration ac
 ross host and device environments. This architecture simplifies GPU progra
 mming for end-users while improving scalability and portability in sparse-
 grid and gird-particle coupling numerical simulations.\n\nDomain: Engineer
 ing, Computational Methods and Applied Mathematics\n\nSession Chair: Edwar
 d Erasmie-Jones (King's College London)\n\n
END:VEVENT
END:VCALENDAR