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GPU porting of ASCOT5 code for Monte Carlo simulations in fusion plasmas

  • Mathieu Peybernes*
  • , Gilles Fourestey
  • , Simppa Äkäslompolo
  • , Konsta Särkimäki
  • , Filippo Spiga
  • *Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

2 Lataukset (Pure)

Abstrakti

We present the graphics processing unit (GPU) porting of a Monte Carlo particle-following code, called ASCOT5. The code solves the distribution function of minority species in fusion plasmas. Originally developed with an MPI-OpenMP hybrid parallelism taking full advantage of single instruction, multiple data operations, the code has been ported to GPU architecture using the OpenACC programming model. Subsequently, modifications were made to implement three distinct algorithmic strategies: history-based, event-based, and event-based-packing. In the first implementation, each GPU processing unit deals with the entire history of one or more particles, while the event-based algorithm operates on the principle of executing a single low-level event type at a time for all particles still alive (with or without packing particles). Performance results on NVIDIA GPUs are presented to showcase the effectiveness and efficiency of the code adaptations for GPU execution. These results provide insights into the comparative performance of the implemented approaches on the specified hardware architecture. Portability across other architectures such as INTEL and AMD GPUs with OpenMP Offload is also presented.

AlkuperäiskieliEnglanti
Artikkeli105020
JulkaisuPlasma Physics and Controlled Fusion
Vuosikerta67
Numero10
DOI - pysyväislinkit
TilaJulkaistu - 31 lokak. 2025
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

This work, supported in part by the Swiss National Science Foundation, has been carried out within the framework of the EUROfusion Consortium—Theory and Advanced Simulation Coordination (E-TASC), funded by the European Union via the Euratom Research and Training Programme (Grant Agreement No 101052200—EUROfusion). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them. We acknowledge the CINECA award under the ISCRA initiative for the availability of high performance computing resources. The work was also supported by NVIDIA Corporation for accessing remotely NVIDIA ‘Grace Hopper’ GH200 platform for multi-node testing and evaluation. We acknowledge also Aalto University Scientific Computing for awarding the project access to the LUMI supercomputer, owned by the EuroHPC Joint Undertaking, hosted by CSC (Finland) and the LUMI consortium through the Program ASCOT5 AMD-GPU porting (grant ID: 462000191).

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