Published December 18, 2025 | Version v1

Plasma-PEPSC D6.3 Updated Report on Dissemination, Community Building, Collaborations, Training, and Exploitation Plans

  • 1. ROR icon Czech Academy of Sciences, Institute of Plasma Physics
  • 2. ROR icon KTH Royal Institute of Technology
  • 1. ROR icon KTH Royal Institute of Technology
  • 2. ROR icon Czech Academy of Sciences, Institute of Plasma Physics

Description

In this deliverable, we discuss the background, methodology and outcomes of project dissemination; present lists of the manuscripts published, or accepted for publication at scientific journals in 2024 and of the international conferences, where we had invited, oral and poster contributions in 2024. We discuss the efforts made for community building, new collaborations and training sessions, which took place under the Plasma-PEPSC project during 2024. These demonstrates that dissemination, community Building, collaborations, training, and exploitation activities performed agree to project initial plans.

Files

D6.3_Updated_Report_on_Dissemination_Community_Building_Collaborations_Training_and_Exploitation_Plans.pdf

Additional details

Funding

European Commission
Plasma-PEPSC - Plasma Exascale-Performance Simulations CoE - Pushing flagship plasma simulations codes to tackle exascale-enabled Grand Challenges via performance optimisation and codesign 101093261

References

  • Bengisu Elis, Olga Pearce, David Boehme, Jason Burmark, and Martin Schulz. Non- Blocking GPU-CPU notifications to enable more GPU-CPU parallelism. In Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, pages 1–11. Association for Computing Machinery, New York, 2024.
  • Coti Camille, Pfau-Kempf Yann, Battarbee Markus, and et al. Integration of modern HPC performance tools in Vlasiator for exascale analysis and optimization. In Proceedings of 2024 IEEE International Parallel and Distributed Processing Symposium Workshops, pages 996–1005. IEEE, 2024.
  • L. Kotipalo, M. Battarbee, Y. Pfau-Kempf, and M. Palmroth. Physics-motivated cell-octree adaptive mesh refinement in the Vlasiator 5.3 global hybrid-vlasov code. Geoscientific Model Development, 17(16):6401–6413, 2024.
  • Markus Battarbee, Urs Ganse, Yann Pfau-Kempf, Markku Alho, Konstantinos Papadakis, and Minna Palmroth. Coalescing MPI communication in 6D Vlasov simulations: solving ghost domains in Vlasiator. Accepted for publication in Workshop Proceedings of Euro-Par 2024: Parallel Processing, 2024.
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  • Jeremy J Williams, Stefan Costea, Allen D Malony, David Tskhakaya, Leon Kos, Ales Podolnik, Jakub Hromadka, Kevin Huck, Erwin Laure, and Stefano Markidis. Understanding the impact of openPMD on BIT1, a Particle-in-Cell Monte Carlo code, through instrumentation, monitoring, and in-situ analysis. In European Conference on Parallel Processing. Springer, 2024.
  • Jeremy J Williams, Felix Liu, David Tskhakaya, Stefan Costea, Ales Podolnik, and Stefano Markidis. Optimizing BIT1, a Particle-in-Cell Monte Carlo code, with Open- MP/OpenACC and GPU acceleration. In International Conference on Computational Science, pages 316–330. Springer, 2024.
  • Jeremy J Williams, Felix Liu, David Tskhakaya, Stefan Costea, Ales Podolnik, and Stefano Markidis. Understanding large-scale plasma simulation challenges for fusion energy on Supercomputers. In Proceedings of the 50th EPS Conference on Contr. Fusion and Plasma Phys, pages 8–18. Springer, 2024.
  • Jeremy J Williams, Daniel Medeiros, Stefan Costea, David Tskhakaya, Franz Poeschel, Ren´e Widera, Axel Huebl, Scott Klasky, Norbert Podhorszki, Leon Kos, et al. Enabling high-throughput parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O monitoring. In 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops), pages 86–95. IEEE, 2024.