% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Muralikrishnan:1049566,
      author       = {Muralikrishnan, Sriramkrishnan and Speck, Robert},
      title        = {{A} {M}assive {S}pace-{T}ime {P}arallel
                      {P}article-{I}n-{F}ourier {F}ramework for {K}inetic {P}lasma
                      {S}imulations},
      reportid     = {FZJ-2025-05370},
      year         = {2025},
      abstract     = {Kinetic plasma simulations play a critical role in
                      applications of societal relevance suchas nuclear fusion and
                      building the next-generation of compact particle
                      accelerators.They are also widely used in studying
                      astrophysical phenomena and industrial
                      plasmaprocesses.Particle-In-Fourier (PIF) schemes are
                      attractive for long-time integration of kineticplasma
                      simulations as they conserve charge, momentum and energy,
                      exhibit avariational structure, do not have aliasing and
                      have excellent stability properties.However, they are
                      typically more expensive than the commonly used
                      Particle-In-Cell(PIC) schemes due to the requirement of
                      non-uniform discrete Fourier transforms (DFT)or fast Fourier
                      transforms (FFT). In this talk, we present a Parareal-based
                      parallel-in-time integration method for PIF schemes by
                      employing a PIF scheme of coarsertolerance for nonuniform
                      FFTs or the standard PIC scheme as coarse propagatorstowards
                      the goal of performing long-time integration simulations. We
                      show an erroranalysis of the algorithm as well as numerical
                      validation of the results with Landaudamping, two-stream
                      instability, and Penning trap test cases in 3D-3V. Finally,
                      we alsopresent massively parallel full-system scaling
                      studies from space-time parallelimplementation of the PIF
                      schemes in the open-source, performance-portable
                      library"Independent Parallel Particle Layer'' (IPPL) on
                      JUWELS and ALPS supercomputerswith A100 and GH200 GPUs. The
                      space-time parallelization provides up to $4-6$ timesspeedup
                      compared to spatial parallelization alone and achieves a
                      push rate of morethan 1 billion particles per second for the
                      benchmark plasma mini-apps considered.},
      month         = {Jul},
      date          = {2025-07-07},
      organization  = {Parallel-in-time algorithms for
                       exascale applications, Edinburgh (UK),
                       7 Jul 2025 - 11 Jul 2025},
      subtyp        = {Invited},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5112},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/1049566},
}