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DTSTAMP:20250822T115805Z
LOCATION:Room 6.0D13
DTSTART;TZID=Europe/Stockholm:20250618T150000
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UID:submissions.pasc-conference.org_PASC25_sess142_msa237@linklings.com
SUMMARY:Numerical Analysis and Acceleration of Particle-Particle Particle-
 Mesh Method Using Cabana
DESCRIPTION:Zoe Barbeau (Stanford University), Het Makand and Sam Reeve (O
 ak Ridge National Laboratory), and Phillip Colella (Lawrence Berkeley Nati
 onal Laboratory)\n\nParticle-particle particle-mesh (PPPM) methods are use
 d to describe advective dynamics (represented by particle discretizations)
  that are coupled to nonlocal fields (represented by grid discretizations)
 . Our objective is to implement one such method, the Method of Local Corre
 ctions (MLC) for vorticity transport in 3D, on GPUs using performance-port
 able libraries: Cabana for particles, and FFTX for FFT-based solutions to 
 the field equations. MLC splits the calculation of the velocity field into
  two parts: near-field (local N-body calculations) and far-field (single f
 ree-space convolution). MLC exercises the full capabilities and data chore
 ography of Cabana where local N-body calculations and grid to / from parti
 cle interpolations are accelerated. FFTX is needed for the free space conv
 olution step to approximate the velocity on the grid. Using this MLC metho
 d, we also develop more a systematic numerical analysis for particle metho
 ds in 3D via numerical experiments. Particles deforming significantly from
  the initial grid locations leads to large interpolation errors which lead
 s to velocity errors and “particle noise". We address this with adaptive r
 emapping where we map particles back to a Eulerian grid selectively, in re
 gions where the particle locations have undergone large deformations.\n\nD
 omain: Engineering, Computational Methods and Applied Mathematics\n\nSessi
 on Chair: Het Yagnesh Mankad (Oak Ridge National Laboratory)\n\n
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