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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260522T150120Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181113T083000
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess325_spost130@linklings.com
SUMMARY:Eulerian Algorithms for the Discretization of Plasma Kinetic Equat
 ions
DESCRIPTION:James L. Juno (University of Maryland)\n\nWhile fluid models a
 re common tools in the study of plasmas, many of these systems, whether in
  astrophysics or the lab, are only weakly collisional and far from equilib
 rium, making them more accurately described by kinetic equations. Kinetic 
 equations can be computationally demanding due to the need to solve for th
 e distribution function of the particles in a higher dimensional phase spa
 ce, with position and velocity coordinates. Despite this challenge, the mo
 tivation for solving the plasma kinetic equation is large as there remains
  a vast array of questions concerning collisionless dynamics in real plasm
 a systems. Here we present algorithms in an Eulerian framework for the dis
 cretization of the plasma kinetic equation, using a high-order discontinuo
 us Galerkin finite element method due to its arithmetic intensity and para
 llelizability. Scaling and performance of the algorithm are discussed, and
  benchmarks of the algorithm are presented as well.\n\nRegistration Catego
 ry: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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