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:20211207T054724Z
LOCATION:240-241-242
DTSTART;TZID=America/Chicago:20211117T113000
DTEND;TZID=America/Chicago:20211117T120000
UID:submissions.supercomputing.org_SC21_sess248_gbv103@linklings.com
SUMMARY:Data-Driven Scalable Pipeline Using National Agent-Based Models fo
 r Real-Time Pandemic Response and Decision Support
DESCRIPTION:ACM Gordon Bell Finalist, Awards Presentation\n\nData-Driven S
 calable Pipeline Using National Agent-Based Models for Real-Time Pandemic 
 Response and Decision Support\n\nBhattacharya, Chen, Hoops, Machi, Marathe
 ...\n\nWe describe an integrated, data-driven operational pipeline based o
 n national agent-based models to support federal- and state-level pandemic
  planning and response. The pipeline consists of (i) an automatic semantic
 -aware scheduling method that coordinates jobs across two separate high pe
 rformance computing systems; (ii) a data pipeline to collect, integrate an
 d organize national- and county-level disaggregated data for initializatio
 n and post-simulation analysis; (iii) a digital twin of national social co
 ntact networks made up of 288 Million individuals and 12.6 Billion time-va
 rying interactions covering the US states and DC; (iv) an extension of a p
 arallel agent-based simulation model to study epidemic dynamics and associ
 ated interventions. Our pipeline can run 400 replicates of national runs i
 n less than 33 hours, and reduces the need for human intervention, resulti
 ng in faster turnaround times and higher reliability and accuracy of the r
 esults. Scientifically, the work has led to significant advances in real-t
 ime epidemic sciences.\n\nTag: AI-HPC Convergence, Computational Science, 
 Extreme Scale Computing, Performance, Scientific Computing\n\nRegistration
  Category: Tech Program Reg Pass
END:VEVENT
END:VCALENDAR