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arXiv · 2406.16091

Efficient GPU Implementation of Particle Interactions with Cutoff Radius and Few Particles per Cell

David Algis·Berenger Bramas·Emmanuelle Darles·Lilian Aveneau
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Abstract

This paper presents novel approaches to parallelizing particle interactions on a GPU when there are few particles per cell and the interactions are limited by a cutoff distance. The paper surveys classical algorithms and then introduces two alternatives that aim to utilize shared memory. The first approach copies the particles of a sub-box, while the second approach loads particles in a pencil along the X-axis. The different implementations are compared on three GPU models using Cuda and Hip. The results show that the X-pencil approach can provide a significant speedup but only in very specific cases.

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David Algis, Berenger Bramas, Emmanuelle Darles, Lilian Aveneau. 2024-06-23. Efficient GPU Implementation of Particle Interactions with Cutoff Radius and Few Particles per Cell. https://arxiv.org/abs/2406.16091

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