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  1. Home
  2. Accelerating Mesh-based Monte Carlo Simulations Using Contemporary Graphics Ray-tracing Hardware.
  1. Home
  2. Accelerating Mesh-based Monte Carlo Simulations Using Contemporary Graphics Ray-tracing Hardware.

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Accelerating mesh-based Monte Carlo simulations using contemporary graphics ray-tracing hardware.

Shijie Yan1, Douglas Dwyer1, David R Kaeli1

  • 1Northeastern University, Department of Electrical and Computer Engineering, Boston, Massachusetts, United States.

Arxiv
|December 8, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Ray-tracing Monte Carlo (MC) methods accelerate light-tissue interaction simulations. This new RT-MMC algorithm uses GPU ray-tracing cores for faster, simpler, and more practical simulations in biophotonics.

Keywords:
Computer GraphicsGraphics Processing UnitLight TransportMesh-based Monte CarloMonte Carlo MethodRay-tracing

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Area of Science:

  • Biophotonics
  • Computational Modeling
  • Medical Physics

Background:

  • Monte Carlo (MC) methods are accurate for light-tissue interaction modeling.
  • Mesh-based MC (MMC) enhances precision for complex geometries but faces computational bottlenecks.
  • Ray-boundary intersection tests limit the performance of traditional MMC algorithms.

Purpose of the Study:

  • To develop a highly accelerated MMC algorithm (RT-MMC) using modern GPU hardware.
  • To leverage ray-tracing cores (RT-cores) for faster volumetric ray-tracing in turbid media.
  • To simplify MMC workflows and improve simulation practicality.

Main Methods:

  • Implemented RT-MMC using NVIDIA's OptiX platform for hardware-accelerated ray traversal.
  • Extended graphics ray-tracing pipelines for volumetric ray-tracing, eliminating mesh generation.
  • Supported wide-field sources without complex mesh retesselation.
  • Main Results:

    • RT-MMC achieved 1.5× to 4.5× speedups across various GPU architectures.
    • Demonstrated excellent agreement with traditional software-ray-tracing MMC algorithms.
    • Significantly enhanced the practicality of MMC for routine simulations.

    Conclusions:

    • Hardware-accelerated ray-tracing greatly simplifies MMC simulation workflows.
    • RT-MMC offers substantial speedups, with further gains expected as ray-tracing hardware evolves.
    • Adoption of graphics ray-tracing pipelines benefits biophotonics applications by leveraging emerging hardware.