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:20210402T160544Z
LOCATION:Poster Module
DTSTART;TZID=America/New_York:20201119T083000
DTEND;TZID=America/New_York:20201119T170000
UID:submissions.supercomputing.org_SC20_sess337_rpost135@linklings.com
SUMMARY:SynChrono: An MPI-Based, Scalable Physics-Based Simulation Framewo
 rk for Autonomous Vehicles Operating in Off-Road Conditions
DESCRIPTION:Posters, Research Posters\n\nSynChrono: An MPI-Based, Scalable
  Physics-Based Simulation Framework for Autonomous Vehicles Operating in O
 ff-Road Conditions\n\nTaves, Young, Elmquist, Negrut, Serban...\n\nIn this
  contribution we outline the MPI-based, scalable, physics-based simulation
  framework SynChrono, and its use in autonomous vehicle studies in off-roa
 d conditions. SynChrono builds on the simulation capabilities of Chrono, b
 ut shows better scaling behavior, making it a useful environment for multi
 -vehicle mobility studies. When combined with GymChrono, a platform based 
 on OpenAI Gym for reinforcement learning, SynChrono serves as a useful too
 l for integrated vehicle studies in both on- and off-road environments.\n\
 nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass
END:VEVENT
END:VCALENDAR