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:B301
DTSTART;TZID=America/New_York:20241119T100000
DTEND;TZID=America/New_York:20241119T170000
UID:submissions.supercomputing.org_SC24_sess553_art105@linklings.com
SUMMARY:Blood Flow through a Microaneurysm
DESCRIPTION:Suzan Manasreh and Spencer Bryngelson (Georgia Institute of Te
 chnology)\n\nWe used the Coreform Cubit software to create an Exodus-II tr
 i-mesh with 11,196 points for the blood vessel walls. Red blood cells are 
 placed randomly within the mesh bounds, and then the algorithm from RBC3D,
  a spectral boundary integral solver for cell-scale flows, initiates Stoke
 s flow through the vessel. This algorithm is parallelized via MPI, and we 
 had to use 192 CPU cores for eight hours to run this simulation to 10,000 
 timesteps. To visualize the simulation data, we used Kitware's ParaView so
 ftware. Then, we used two NVIDIA RTX 6000 GPUs to run the OSPRay path trac
 er algorithm from ParaView's ray-tracing tools. Georgia Tech's PACE Phoeni
 x cluster provided access to CPU and GPU nodes under Spencer Bryngelson's 
 allocation. The ray-tracing step took 16 hours on these nodes. Finally, we
  combined images of the simulation from each timestep into a video using F
 Fmpeg.\n\nRegistration Category: Tech Program Reg Pass, Workshop Reg Pass,
  Tutorial Reg Pass, Exhibits Reg Pass\n\n
END:VEVENT
END:VCALENDAR
