Effect of implementations of the N-body problem on the performance and portability across GPU vendors

Since Aurora entered the TOP500 list in November 2023, the top ten systems saw some shifts in the ratio of GPU vendors represented. With each vendor supplying their own preferred programming models for their hardware, it becomes relevant to compare the portability of these models on other hardware platforms. For the present paper we implemented the N-body problem with different optimizations using native and portable programming frameworks. For each of those we determined the best performing optimized version on one target architecture and compared the performance achieved for each platform.

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Publication Details

Journal
JuSER Publikationsportal
Published
2025-01-01
DOI
https://doi.org/10.34734/fzj-2025-02051
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Effect of implementations of the N-body problem on the performance and portability across GPU vendors

JuSER Publikationsportal
Parallel Computing and Optimization Techniques
article

Effect of implementations of the N-body problem on the performance and portability across GPU vendors

article en

Abstract

Since Aurora entered the TOP500 list in November 2023, the top ten systems saw some shifts in the ratio of GPU vendors represented. With each vendor supplying their own preferred programming models for their hardware, it becomes relevant to compare the portability of these models on other hardware platforms. For the present paper we implemented the N-body problem with different optimizations using native and portable programming frameworks. For each of those we determined the best performing optimized version on one target architecture and compared the performance achieved for each platform.

JuSER Publikationsportal
Forschungszentrum Jülich (DE)
Openalex Percentile: Top 54%
Parallel Computing and Optimization Techniques
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