BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20211207T055408Z
LOCATION:240-241-242
DTSTART;TZID=America/Chicago:20211117T103000
DTEND;TZID=America/Chicago:20211117T120000
UID:submissions.supercomputing.org_SC21_sess248@linklings.com
SUMMARY:Gordon Bell COVID-19 Special Prize Finalist Session 1
DESCRIPTION:ACM Gordon Bell Finalist, Awards Presentation\n\nDigital Trans
 formation of Droplet/Aerosol Infection Risk Assessment Realized on Fugaku 
 for the Fight against COVID-19\n\nAndo, Bale, Li, Matsuoka, Onishi...\n\nT
 he fastest supercomputer in 2020, Fugaku, has not only achieved digital tr
 ansformation of epidemiology in allowing end-to-end, detailed quantitative
  modeling of COVID-19 transmissions for the first time, but also transform
 ed the behavior of the entire Japanese public through its detailed analysi
 s o...\n\n---------------------\nLanguage Models for the Prediction of SAR
 S-CoV-2 Inhibitors\n\nBlanchard, Gounley, Bhowmik, Shekar, Lyngaas...\n\nT
 he COVID-19 pandemic highlights the need for computational tools to automa
 te and accelerate drug design for novel protein targets. We leverage deep 
 learning language models to generate and score drug candidates based on pr
 edicted protein binding affinity. We pre-trained a deep learning language 
 mod...\n\n---------------------\nData-Driven Scalable Pipeline Using Natio
 nal Agent-Based Models for Real-Time Pandemic Response and Decision Suppor
 t\n\nBhattacharya, Chen, Hoops, Machi, Marathe...\n\nWe describe an integr
 ated, data-driven operational pipeline based on national agent-based model
 s to support federal- and state-level pandemic planning and response. The 
 pipeline consists of (i) an automatic semantic-aware scheduling method tha
 t coordinates jobs across two separate high performance c...\n\n\nTag: AI-
 HPC Convergence, Computational Science, Extreme Scale Computing, Performan
 ce, Scientific Computing\n\nRegistration Category: Tech Program Reg Pass
END:VEVENT
END:VCALENDAR