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Graphics processing unit-accelerated mesh-based Monte Carlo photon transport simulations.

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Summary
This summary is machine-generated.

This study introduces MMCL, a faster mesh-based Monte Carlo (MMC) simulation tool for biophotonics. It achieves significant speedups on complex 3D tissue models, making advanced optical simulations more accessible.

Keywords:
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Area of Science:

  • Biophotonics
  • Computational Modeling
  • Medical Physics

Background:

  • Mesh-based Monte Carlo (MMC) is crucial for biophotonics modeling in complex 3D tissues.
  • Existing MMC methods face high computational demands and memory requirements.
  • Previous GPU acceleration attempts for MMC showed limited success and were not publicly available.

Purpose of the Study:

  • To develop a highly efficient and accessible mesh-based Monte Carlo (MMC) simulator.
  • To accelerate MMC simulations using heterogeneous computing frameworks.
  • To provide a versatile tool supporting advanced biophotonics simulation features.

Main Methods:

  • Implemented a new MMC simulator (MMCL) using the OpenCL heterogeneous computing framework.
  • Leveraged tetrahedral meshes for improved anatomical accuracy in 3D tissue models.
  • Integrated advanced simulation features including complex sources, detectors, and photon properties.

Main Results:

  • Achieved a speedup ratio of up to 420× compared to single-threaded CPU simulations.
  • MMCL supports a wide range of GPUs and CPUs across different vendors.
  • The simulator retains advanced features of existing MMC software, enhancing usability.

Conclusions:

  • MMCL offers a significant advancement in computational efficiency for biophotonics simulations.
  • The tool's broad hardware compatibility and feature set make it valuable for researchers.
  • Freely available source code and benchmarks promote wider adoption and development in the field.