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| Title | Advancing RT core-accelerated fixed-radius nearest neighbor search |
| Authors | enzo meneses, Hugo Bec, Cristobal Navarro, Benoit Crespin, Felipe Quezada, Nancy Hitschfeld, Heinich Porro, Maxime Maria |
| Publication date | October 2026 |
| Abstract |
Recent research on GPU Computing has found new ways to leverage the Ray Tracing (RT) cores beyond lighting/rendering tasks. One relevant case of success is the acceleration of the fixed-radius nearest neighbors (FRNN) search for physical simulations. Although this idea of finding neighbors with GPU RT cores is already well defined, there are still research challenges to further tune the approach towards higher performance and energy efficiency (EE). In this work we introduce three ideas that can further improve particle FRNN physics simulations running on RT Cores; (i) a real-time update/rebuild ratio optimizer for the bounding volume hierarchy (BVH) structure, (ii) a new RT core use, with two variants, that eliminates the need of a neighbor list and (iii) a technique that enables RT cores for FRNN with periodic boundary conditions (BC). Experimental evaluation using the Lennard-Jones FRNN interaction model as a case study shows that the proposed update/rebuild ratio optimizer is capable of adapting to the different dynamics that emerge during a simulation, leading to a RT core pipeline up to faster than with other known approaches to manage the BVH. In terms of simulation step performance, the proposed variants can significantly improve the speedup and EE of the base RT core idea; from at small radius to for log normal radius distributions. Furthermore, the proposed variants manage to simulate cases that would otherwise not fit in memory because of the use of neighbor lists, such as clusters of particles with log normal radius distribution. The proposed RT Core technique to support periodic BC is indeed effective as it does not introduce any significant penalty in performance. In terms of scaling, the proposed methods scale both their performance and EE across GPU generations. Throughout the experimental evaluation, we also identify the simulation cases were regular GPU computation should still be preferred, contributing to the understanding of the strengths and limitations of RT cores. |
| Pages | article 108555 |
| Volume | 183 |
| Journal name | Future Generation Computer Systems |
| Publisher | Elsevier Science (Amsterdam, The Netherlands) |
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