Plasma Exascale-Performance Simulations CoE - Pushing flagship plasma simulations codes to tackle exascale-enabled Grand Challenges via performance optimisation and codesign | Plasma-PEPSC | Projet | Résultats | HORIZON | CORDIS

Livrables

Initial assessment of developments and revision of the scientific challenges - Enabling Next-Generation Plasma Accelerators for Real World Applications with PIConGPU

Report on performance and update of scientific challenges and performance evaluation plan for PIConGPU.

Initial report on MPI, load balancing and resilience in plasma codes

Initial report on adapting and optimising code using MPI, load balance and resilience in the plasma codes

Initial report on improving parallel I/O, enabling in-situ and compression

Report on strategies for parallel I/O, load balance, and resilience in the plasma codes. First I/O measurement data by at least two codes available and reported in a technical note.

Collaboration plan with definition of common objectives and activities including milestone

This report includes the collaboration plan with associated milestones, the initial communication, and exploitation plans for the project.

Initial assessment of developments and revision of the scientific challenges - Controlling Plasma-Material Interfaces with BIT

Report on performance and update of scientific challenges and performance evaluation plan for the BIT codes

Initial definition of the scientific challenges and initial evaluation plan - Predicting Near-Earth Space Dynamics with Vlasiator

Report on the identified scientific challenges and performance evaluation of the Vlasiator code.

Initial definition of the scientific challenges and initial evaluation plan - Controlling Plasma-Material Interfaces with BIT

Report on the identified scientific challenge and initial performance evaluation for the BIT codes showcase.

Initial report on algorithmic changes and memory optimisation for heterogeneous systems in Plasma-PEPSC codes

Initial report on algorithmic changes and memory optimisation for heterogeneous systems in Plasma-PEPSC codes.

Report on dissemination, community building, collaborations, training, and exploitation

Report on Plasma-PEPSC achievements in dissemination, community building, collaborations, training, and exploitation. This report also includes an updated collaboration plan.

Initial definition of the scientific challenges and initial evaluation plan - Enabling Next-Generation Plasma Accelerators for Real World Applications with PIConGPU

Report on the identified scientific challenges and performance evaluation of the PIConGPU code.

Initial assessment of developments and revision of the scientific challenges - Optimising Magnetically Confined Plasmas with GENE

Report on performance and update of scientific challenges and performance evaluation plan for GENE.

Initial Assessment of Future Emerging Technologies and Algorithms for Plasma Simulations

Initial review and analysis of post-exascale technologies for plasma simulations

Initial assessment of developments and revision of the scientific challenges - Predicting Near-Earth Space Dynamics with Vlasiator

Report on performance and update of scientific challenges and performance evaluation plan for Vlasiator

Initial definition of the scientific challenges and initial evaluation plan - Optimising Magnetically Confined Plasmas with GENE

Report on the identified scientific challenges and performance evaluation of the GENE code.

Data Management Plan

DMP Report for data and codes in Plasma-PEPSC

Publications

A Performance Model of In-Situ Techniques

Auteurs: Yi Ju, Nicolas Vidal, Adalberto Perez, Ana Gainaru, Fred Suter, Stefano Markidis, Philipp Schlatter, Scott Klaskyll, Erwin Laure
Publié dans: 2025 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), 2025
Éditeur: IEEE
DOI: 10.1109/PDP66500.2025.00036

Enabling High- Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring

Auteurs: Jeremy J. Williams, Daniel Medeiros, Stefan Costea, David Tskhakaya, Franz Poeschel, René Widera, Axel Huebl, Scott Klasky, Norbert Podhorszki, Leon Kos, Ales Podolnik, Jakub Hromadka, Tapish Narwal, Klaus Steiniger, Michael Bussmann, Erwin Laure, Stefano Markidis
Publié dans: 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops), 2024
Éditeur: IEEE
DOI: 10.1109/CLUSTERWORKSHOPS61563.2024.00022

Understanding the Impact of OpenPMD on BIT1, a Particle-in-Cell Monte Carlo Code, Through Instrumentation, Monitoring, and In-Situ Analysis

Auteurs: Jeremy J. Williams, Stefan Costea, Allen D. Malony, David Tskhakaya, Leon Kos, Ales Podolnik, Jakub Hromadka, Kevin Huck, Erwin Laure, Stefano Markidis
Publié dans: Lecture Notes in Computer Science, Euro-Par 2024: Parallel Processing Workshops, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-90200-0_18

MPI performance analysis in vlasiator: Unraveling communication bottlenecks

Auteurs: Jennifer Faj, Jeremy J. Williams, Ivy B. Peng, Urs Ganse, Markus Battarbee, Yann Pfau-Kempf, Leo Kotipalo, Minna Palmroth and Stefano Markidis
Publié dans: SC23: The International Conference for High Performance Computing, Networking, Storage, and Analysis, Denver, CO, USA, November 12-17 2023, 2023
Éditeur: Supercomputing 2023

Dynamic Resource Management for In-Situ Techniques Using MPI-Sessions

Auteurs: Yi Ju, Dominik Huber, Adalberto Perez, Philipp Ulbl, Stefano Markidis, Philipp Schlatter, Martin Schulz, Martin Schreiber, Erwin Laure
Publié dans: Lecture Notes in Computer Science, Recent Advances in the Message Passing Interface, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-73370-3_7

Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric

Auteurs: Gabin Schieffer, Ruimin Shi, Stefano Markidis, Andreas Herten, Jennifer Faj, Ivy Peng
Publié dans: SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2025
Éditeur: IEEE
DOI: 10.1109/SCW63240.2024.00079

On the Rise of AMD Matrix Cores: Performance, Power Efficiency, and Programmability

Auteurs: Gabin Schieffer, Daniel Araújo De Medeiros, Jennifer Faj, Aniruddha Marathe, Ivy Peng
Publié dans: 2024 IEEE International Symposium on Performance Analysis of Systems and Software, 2024
Éditeur: IEEE
DOI: 10.1109/ISPASS61541.2024.00022

Enabling Quantum Computer Simulations on AMD GPUs: a HIP Backend for Google's qsim

Auteurs: Stefano Markidis
Publié dans: SC23 Workshop on Quantum Software, 2023, ISSN 2168-135X
Éditeur: ACM
DOI: 10.1145/3624062.3624223

Global evolution of flux transfer events along the magnetopause from the dayside to the far tail

Auteurs: Yann Pfau-Kempf, Konstantinos Papadakis, Markku Alho, Markus Battarbee, Giulia Cozzani, Lauri Pänkäläinen, Urs Ganse, Fasil Kebede, Jonas Suni, Konstantinos Horaites, Maxime Grandin, Minna Palmroth
Publié dans: 2025
Éditeur: Copernicus GmbH
DOI: 10.5194/ANGEO-2024-26

Coalescing MPI Communication in 6D Vlasov Simulations: Solving Ghost Domains in Vlasiator

Auteurs: Markus Battarbee, Urs Ganse, Yann Pfau-Kempf, Markku Alho, Konstantinos Papadakis, Minna Palmroth
Publié dans: Lecture Notes in Computer Science, Euro-Par 2024: Parallel Processing Workshops, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-90200-0_17

A Parallel and Highly-Portable HPC Poisson Solver: Preconditioned Bi-CGSTAB with alpaka

Auteurs: Luca Pennati, Måns I. Andersson, Klaus Steiniger, René Widera, Tapish Narwal, Michael Bussmann, Stefano Markidis
Publié dans: 2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2025
Éditeur: IEEE
DOI: 10.1109/IPDPSW66978.2025.00073

Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations

Auteurs: Jeremy J. Williams, David Tskhakaya, Stefan Costea, Ivy B. Peng, Marta Garcia-Gasulla and Stefano Markidis
Publié dans: Euro-Par 2023: Parallel Processing Workshops: Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28–September 1, 2023, 2023
Éditeur: Springer Nature
DOI: 10.48550/arXiv.2306.16512

Optimizing BIT1, a Particle-in-Cell Monte Carlo Code, with OpenMP/OpenACC and GPU Acceleration

Auteurs: Jeremy J. Williams, Felix Liu, David Tskhakaya, Stefan Costea, Ales Podolnik, Stefano Markidis
Publié dans: Lecture Notes in Computer Science, Computational Science – ICCS 2024, 2024
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63749-0_22

OpenACC and OpenMP-Accelerated Fortran/C++ Gyrokinetic Fusion Code GENE-X for Heterogeneous Architectures

Auteurs: Jordy Trilaksono, Philipp Ulbl, Jeremy Williams, Carl-Martin Pfeiler, Marion Finkbeiner, Tilman Dannert, Erwin Laure, Stefano Markidis, Frank Jenko
Publié dans: Proceedings of the Platform for Advanced Scientific Computing Conference, 2025
Éditeur: ACM
DOI: 10.1145/3732775.3733587

Physics-Aware Compression of Plasma Distribution Functions with GPU-Accelerated Gaussian Mixture Models

Auteurs: Andong Hu, Luca Pennati, Ivy Peng, Stefano Markidis
Publié dans: Lecture Notes in Computer Science, Computational Science – ICCS 2025, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-97632-2_3

Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications

Auteurs: Pratibha Raghupati Hegde, Oleksandr Kyriienko, Hermanni Heimonen, Panagiotis Tolias, Gilbert Netzer, Panagiotis Barkoutsos, Ricardo Vinuesa, Ivy Peng, Stefano Markidis
Publié dans: Proceedings of the 21st ACM International Conference on Computing Frontiers, 2025
Éditeur: ACM
DOI: 10.1145/3649153.3649182

Streaming Data in HPC Workflows Using ADIOS

Auteurs: Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip Davis, Manish Parashar, Matthew Wolf, Eric Suchyta, Erick Fredj, Vicente Bolea, Franz Pöschel, Klaus Steiniger, Michael Bussmann, Richard Pausch, Sunita Chandrasekaran
Publié dans: Proceedings of the Cray User Group, 2025
Éditeur: ACM
DOI: 10.1145/3725789.3725793

Characterizing the Performance of the GENE-X Code for Gyrokinetic Turbulence Simulations

Auteurs: Jordy Trilaksono, Jeremy J Williams, Philipp Ulbl, Tilman Dannert, Erwin Laure, Stefano Markidis, Frank Jenko
Publié dans: SC24: The International Conference for High Performance Computing, Networking, Storage, and Analysis, 2024
Éditeur: Supercomputing 2024

Non-Blocking GPU-CPU Notifications to Enable More GPU-CPU Parallelism

Auteurs: Bengisu Elis, Olga Pearce, David Boehme, Jason Burmark and Martin Schulz
Publié dans: HPCAsia '24: Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2023
Éditeur: Association for Computing Machinery
DOI: 10.1145/3635035.3635036

Harnessing Integrated CPU-GPU System Memory for HPC: a first look into Grace Hopper

Auteurs: Gabin Schieffer, Jacob Wahlgren, Jie Ren, Jennifer Faj, Ivy Peng
Publié dans: Proceedings of the 53rd International Conference on Parallel Processing, 2025
Éditeur: ACM
DOI: 10.1145/3673038.3673110

Integration of Modern HPC Performance Tools in Vlasiator for Exascale Analysis and Optimization

Auteurs: Camille Coti, Yann Pfau-Kempf, Markus Battarbee, Urs Ganse, Sameer Shende, Kevin Huck, Jordi Rodriquez, Leo Kotipalo, Jennifer Faj, Jeremy J. Williams, Ivy Peng, Allen D. Malony, Stefano Markidis, Minna Palmroth
Publié dans: 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2024
Éditeur: IEEE
DOI: 10.1109/IPDPSW63119.2024.00170

Quantum Computer Simulations at Warp Speed: Assessing the Impact of GPU Acceleration

Auteurs: Jennifer Faj, Ivy Peng, Jacob Wahlgren and Stefano Markidis
Publié dans: IEEE 19th International Conference on e-Science (e-Science) 2023, 2023
Éditeur: IEEE 19th International Conference on e-Science (e-Science) 2023
DOI: 10.48550/arXiv.2307.14860

Physics-motivated cell-octree adaptive mesh refinement in the Vlasiator 5.3 global hybrid-Vlasov code

Auteurs: Leo Kotipalo, Markus Battarbee, Yann Pfau-Kempf, Minna Palmroth
Publié dans: Geoscientific Model Development, Numéro 17, 2024, ISSN 1991-9603
Éditeur: Copernicus GmbH
DOI: 10.5194/GMD-17-6401-2024

The Vlasiator 5.2 ionosphere – coupling a magnetospheric hybrid-Vlasov simulation with a height-integrated ionosphere model

Auteurs: Urs Ganse, Yann Pfau-Kempf, Hongyang Zhou, Liisa Juusola, Abiyot Workayehu, Fasil Kebede, Konstantinos Papadakis, Maxime Grandin, Markku Alho, Markus Battarbee, Maxime Dubart, Leo Kotipalo, Arnaud Lalagüe, Jonas Suni, Konstantinos Horaites, Minna Palmroth
Publié dans: Geoscientific Model Development, Numéro 18, 2025, ISSN 1991-9603
Éditeur: Copernicus GmbH
DOI: 10.5194/GMD-18-511-2025

Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies

Auteurs: Stefano Markidis
Publié dans: Entropy, 2023, ISSN 1099-4300
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e25040694

A hybrid quantum-classical particle-in-cell method for plasma simulations

Auteurs: Pratibha Raghupati Hegde, Paolo Marcandelli, Yuanchun He, Luca Pennati, Jeremy J. Williams, Ivy Peng, Stefano Markidis
Publié dans: Future Generation Computer Systems, Numéro 175, 2025, ISSN 0167-739X
Éditeur: Elsevier BV
DOI: 10.1016/J.FUTURE.2025.108087

Porting the grid-based 3D+3V hybrid-Vlasov kinetic plasma simulation Vlasiator to heterogeneous GPU architectures

Auteurs: Markus Battarbee, Konstantinos Papadakis, Urs Ganse, Jaro Hokkanen, Leo Kotipalo, Yann Pfau-Kempf, Markku Alho, Minna Palmroth
Publié dans: Journal of Physics: Conference Series, Numéro 2997, 2025, ISSN 1742-6588
Éditeur: IOP Publishing
DOI: 10.1088/1742-6596/2997/1/012010

Hashinator: a portable hybrid hashmap designed for heterogeneous high performance computing

Auteurs: Konstantinos Papadakis, Markus Battarbee, Urs Ganse, Yann Pfau-Kempf, Minna Palmroth
Publié dans: Frontiers in Computer Science, Numéro 6, 2024, ISSN 2624-9898
Éditeur: Frontiers Media SA
DOI: 10.3389/FCOMP.2024.1407365

Accelerating Particle-in-Cell Monte Carlo simulations with MPI, OpenMP/OpenACC and Asynchronous Multi-GPU Programming

Auteurs: Jeremy J. Williams, Felix Liu, Jordy Trilaksono, David Tskhakaya, Stefan Costea, Leon Kos, Ales Podolnik, Jakub Hromadka, Pratibha Hegde, Marta Garcia-Gasulla, Valentin Seitz, Frank Jenko, Erwin Laure, Stefano Markidis
Publié dans: Journal of Computational Science, Numéro 88, 2025, ISSN 1877-7503
Éditeur: Elsevier BV
DOI: 10.1016/J.JOCS.2025.102590

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

Livrables

Publications

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