Contribution to a conference proceedings/Contribution to a book

FZJ-2025-02193

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Assessing the Performance of Portable Programming Models Across GPU Vendors for the N-Body Problem

Bartolomeu, R.FZJ* ; Halver, R.FZJ* ; Meinke, J.FZJ* ; Sutmann, G. (Corresponding author)FZJ*

2025
Springer Nature Switzerland Cham
ISBN: 978-3-031-85700-3, 978-3-031-85700-3 (electronic)

This record in other databases:  

Please use a persistent id in citations: doi:10.1007/978-3-031-85700-3_9

Abstract: With the inclusion of Aurora in the TOP500 list in November 2023 three different GPU (Graphics Processing Unit) vendors are represented in the top 10 of the list. Each vendor has its own preferred model for programming GPUs. For this paper we implemented the N-body problem using portable programming frameworks and the vendors’ preferred APIs. We show how the performance of the portable solutions compares to the performance of the native solution on each hardware both in absolute numbers and as fraction of the achievable peak performance.

---

Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
2. MultiXscale - Centre of Excellence in exascale-oriented application co-design and delivery for multiscale simulations (101093169) (101093169)

Appears in the scientific report 2025

---

Database coverage:
Nationallizenz ; SCOPUS

---