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:20210402T160553Z
LOCATION:Track 8
DTSTART;TZID=America/New_York:20201118T100000
DTEND;TZID=America/New_York:20201118T113000
UID:submissions.supercomputing.org_SC20_sess285@linklings.com
SUMMARY:Best Research Poster Nominees
DESCRIPTION:Posters, Research Posters\n\nPresentations by best research po
 ster nominees. One of these posters will win the best poster award.\n\nSca
 lable Comparative Visualization of Ensembles of Call Graphs Using CallFlow
 \n\nP. Kesavan, Bhatia, Bhatele, Brink, Pearce...\n\nOptimizing the perfor
 mance of large-scale parallel codes is critical for efficient utilization 
 of computing resources. Code developers often explore multiple execution p
 arameters and are interested in detecting and understanding bottlenecks in
  different executions. They usually collect hierarchical ...\n\n----------
 -----------\nAI Meets HPC: Learning the Cell Motion in Biofluids\n\nZhang,
  Zhang, Han, Cong, Yang...\n\nWe generalized the century-old Jeffery orbit
 s equation, by a novel biomechanics-informed online learning framework usi
 ng simulation data at atomic resolutions, to a new equation of motion for 
 flowing cells to account for the fluid conditions and the cell deformable 
 structures. To validate, we examin...\n\n---------------------\nQuantum Ci
 rcuit Optimization with SPIRAL: A First Look\n\nMionis, Franchetti, Larkin
 \n\nOptimization of quantum circuits is an integral part of the quantum co
 mputing toolchain. In many Noisy Intermediate-Scale Quantum (NISQ) devices
 , only loose connectivity between qubits is maintained, meaning a valid qu
 antum circuit often requires swapping physical qubits in order to satisfy 
 adjacenc...\n\n---------------------\nAccelerating GMRES with Deep Learnin
 g in Real-Time\n\nLuna, Blaschke\n\nDeep learning methods show great promi
 se, however, applications where simulation data is expensive to obtain do 
 not lend themselves easily to applications of deep learning without incurr
 ing a high cost to produce data. Real-time online learning is a novel stra
 tegy to minimize this cost: a model "lea...\n\n\nRegistration Category: Te
 ch Program Reg Pass
END:VEVENT
END:VCALENDAR