Plasma-PEPSC D2.4 Report on Phase-1 Co-design with the EPI systems

Following the path started with the first WP2 deliverables (D.2.1 and D2.2), we continue to port and study the performance on the EPI architectures: Arm targeting SiPearl RHEA CPU, and RISC-V targeting the EPI long-vector accelerator. The remaining part of the text is structured as follows: In Section 1 we introduce scope of the deliverable and the co-design methodology, and in Section 2 we briefly describe the two EPI computational architectures. In Sections 3, 4, 5, and 6 we report on the studies and code optimizations performed on both Arm and RISC-V platforms respectively for the all codes BIT-1, Vlasiator, PIConGPU, and GENE/GENE-X. In Section 7 we briefly summarize the content of this deliverable, the

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-18
DOI
https://doi.org/10.5281/zenodo.17976815
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
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article

Plasma-PEPSC D2.4 Report on Phase-1 Co-design with the EPI systems

Zenodo (CERN European Organization for Nuclear Research)
Parallel Computing and Optimization Techniques
article

Plasma-PEPSC D2.4 Report on Phase-1 Co-design with the EPI systems

article en

Abstract

Following the path started with the first WP2 deliverables (D.2.1 and D2.2), we continue to port and study the performance on the EPI architectures: Arm targeting SiPearl RHEA CPU, and RISC-V targeting the EPI long-vector accelerator. The remaining part of the text is structured as follows: In Section 1 we introduce scope of the deliverable and the co-design methodology, and in Section 2 we briefly describe the two EPI computational architectures. In Sections 3, 4, 5, and 6 we report on the studies and code optimizations performed on both Arm and RISC-V platforms respectively for the all codes BIT-1, Vlasiator, PIConGPU, and GENE/GENE-X. In Section 7 we briefly summarize the content of this deliverable, the

Zenodo (CERN European Organization for Nuclear Research)
University of Helsinki (FI), University of Crete (GR), Barcelona Supercomputing Center (ES), Helmholtz-Zentrum Dresden-Rossendorf (DE), Czech Academy of Sciences, Institute of Computer Science (CZ), KTH Royal Institute of Technology (SE), Foundation for Research and Technology Hellas (GR), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 35%
Parallel Computing and Optimization Techniques
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