Exploiting Ray Tracing Technology Through OptiX to Compute Particle Interactions with Cutoff in a 3D Environment on GPU

• Published in: International journal of advanced computer science & applications Vol. 16; no. 2
• Main Authors: Algis, David, Bramas, Berenger
• Format: Journal Article
• Language: English
• Published: West Yorkshire Science and Information (SAI) Organization Limited 01.01.2025; The Science and Information Organization
• Subjects: Algorithms; Computation; Computer Science; Graphics processing units; High performance computing; Particle interactions; Ray tracing; Rendering; Simulation; CUDA; Scientific computing; Particle interactions; CUDA GPU HPC OptiX Particle interactions Ray tracing Scientific computing; Ray tracing; HPC; GPU; OptiX
• ISSN: 2158-107X; 2156-5570
• DOI: 10.14569/IJACSA.2025.0160205

Particle interaction simulation is a fundamental method of scientific computing that require high-performance solutions. In this context, computing on graphics processing units (GPUs) has become standard due to the significant performance gains over conventional CPUs. However, since GPUs were originally designed for 3D rendering, they still retain several features that are not fully exploited in scientific computing. One such feature is ray tracing, a powerful technique for rendering 3D scenes. In this paper, we propose exploiting ray tracing technology via OptiX and CUDA to compute particle interactions with a cutoff distance in a 3D environment on GPUs. To this end, we describe algorithmic techniques and geometric patterns for efficiently determining the interaction lists for each particle. Our approach enables the computation of interactions with quasi-linear complexity in the number of particles, eliminating the need to construct a grid of cells or an explicit kd-tree. We compare the performance of our method to a classical grid-based approach and demonstrate that our approach is faster in most cases with non-uniform particle distributions.