Journal Article

FZJ-2026-03739

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Towards a complete task-based implementation of a 3D particle-in-cell code: Performance studies and benchmarks

Silva-Cuevas, J. J. (Corresponding author) ; Zych, M. ; Peyen, K. ; Kabadshow, I.FZJ* ; Lobet, M.

2025
Elsevier B.V. Amsterdam

This record in other databases:  

Please use a persistent id in citations: doi:10.1016/j.cpc.2025.109647

Abstract: This article investigates different programming models for miniPIC, a Particle-In-Cell mini-app, to improve overall scalability. An innovative implementation of a fully asynchronous task-based implementation of a 3D Particle-In-Cell code miniPIC is presented for the first time. The task-based model has been specially implemented in the particle-in-cell code via the backend OpenMP and the library Eventify. Four physical studies were selected as benchmarks: thermal plasma, plasma beam diffusion, a laser colliding with a plasma beam sphere, and thermal plasma with an imbalanced artificial operator. Besides, different parametric studies were designed to measure the scalability of the implementation to varying numbers of cores and various physical conditions. The current parametric studies were performed in an Intel cascade lake-based machine and an AMD EPYC-based machine to measure scalability performance on different architectures.

---

Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)
2. AIDAS - Joint Virtual Laboratory for AI, Data Analytics and Scalable Simulation (aidas_20200731) (aidas_20200731)

---

Database coverage:
; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---