Gast ::
| Hauptseite > Online First > Error Analysis and Parallel Scaling Study of a Parareal Parallel-in-Time Integration Algorithm for Particle-in-Fourier Schemes |
| Hauptseite > Online First > Error Analysis and Parallel Scaling Study of a Parareal Parallel-in-Time Integration Algorithm for Particle-in-Fourier Schemes |
| Journal Article | FZJ-2025-05249 |
;
2025
SIAM
Philadelphia, Pa.
This record in other databases:
Please use a persistent id in citations: doi:10.1137/24M1673097
Abstract: We propose a parareal based time parallelization scheme in the phase-space for the particle-in-Fourier (PIF) discretization of the Vlasov–Poisson system used in kinetic plasma simulations. We use PIF with a coarse tolerance for the nonuniform fast Fourier transforms, or the standard particle-in-cell scheme, combined with temporal coarsening, as coarse propagators. This is different from the typical spatial coarsening of particles and/or Fourier modes for parareal, which are not possible or effective for PIF schemes. We perform an error analysis of the algorithm and verify the results numerically with Landau damping, two-stream instability, and Penning trap test cases in 3D-3V. We also implement the space-time parallelization of the PIF schemes in the open-source, performance-portable library IPPL and conduct scaling studies up to 1536 A100 GPUs on the JUWELS booster supercomputer. The space-time parallelization utilizing the parareal algorithm for the time parallelization provides up to 4–6 times speedup compared to spatial parallelization alone and achieves a push rate of around 1 billion particles per second for the benchmark plasma mini-apps considered.
; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
|
The record appears in these collections: |
PDF