Plasma-PEPSC D5.2 Report on Algorithmic Changes and Memory Optimisation for Heterogeneous Systems in Plasma-PEPSC Codes

This document provides insight into the current state of porting efforts for the Plasma-PEPSC codes toward using accelerator hardware such as graphics processing units (GPUs). It summarizes state-of-the-art techniques for accelerator programming, porting strategies from CPU to accelerators and usage of multiple GPUs. One focus is the use of heterogeneous memory when using accelerators, showcasing some of the libraries provided by Plasma-PEPSC members for memory management on heterogeneous devices. Although this report documents work in progress, it is evident that almost all Plasma-PEPSC codes are ready for use with GPU accelerators in production on EuroHPC systems. We thus are confident to be able to present regular updates on GPU performance within the project.

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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.17978857
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
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article

Plasma-PEPSC D5.2 Report on Algorithmic Changes and Memory Optimisation for Heterogeneous Systems in Plasma-PEPSC Codes

Zenodo (CERN European Organization for Nuclear Research)
Magnetic confinement fusion research
article

Plasma-PEPSC D5.2 Report on Algorithmic Changes and Memory Optimisation for Heterogeneous Systems in Plasma-PEPSC Codes

article en

Abstract

This document provides insight into the current state of porting efforts for the Plasma-PEPSC codes toward using accelerator hardware such as graphics processing units (GPUs). It summarizes state-of-the-art techniques for accelerator programming, porting strategies from CPU to accelerators and usage of multiple GPUs. One focus is the use of heterogeneous memory when using accelerators, showcasing some of the libraries provided by Plasma-PEPSC members for memory management on heterogeneous devices. Although this report documents work in progress, it is evident that almost all Plasma-PEPSC codes are ready for use with GPU accelerators in production on EuroHPC systems. We thus are confident to be able to present regular updates on GPU performance within the project.

Zenodo (CERN European Organization for Nuclear Research)
University of Helsinki (FI), University of Ljubljana (SI), Helmholtz-Zentrum Dresden-Rossendorf (DE), Max Planck Institute for Plasma Physics (DE), Technical University of Munich (DE), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 23%
Magnetic confinement fusion research
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