Github repository: https://github.com/fangq/mmc
Releases: https://github.com/fangq/mmc/releases
Website: http://mcx.space/#mmc

Mesh-based Monte Carlo (MMC) is a 3D Monte Carlo (MC) simulation software
for photon transport in complex turbid media. MMC combines the strengths
of the MC-based technique and the finite-element (FE) method: on the
one hand, it can handle general media, including low-scattering ones,
as in the MC method; on the other hand, it can use an FE-like tetrahedral
mesh to represent curved boundaries and complex structures, making it
even more accurate, flexible, and memory efficient. MMC uses the
state-of-the-art ray-tracing techniques to simulate photon propagation in
a mesh space. It has been extensively optimized for excellent computational
efficiency and portability. MMC currently supports both multi-threaded
parallel computing and Single Instruction Multiple Data (SIMD) parallism
to maximize performance on a multi-core processor.

There will be multiple sub-packages:

• octave-mmclab: mmclab for octave
• mmclab-demos: demo and sample scripts for mmclab
• mmc: binary executable for mesh-based monte carlo
• mmc-demos: demos and sample data for mmc