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Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

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Published on: December 18, 2014

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.

|December 8, 2025

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 Graphics Graphics Processing Unit Light Transport Mesh-based Monte Carlo Monte Carlo Method Ray-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.