Mesh-based Monte Carlo, or MMC, is a Monte Carlo simulation package designed for simulating photon transport in 3D heterogeneous media. MMC can use a volumetric mesh to represent a complex domain, making it computationally and memory efficient.
MMC supports multi-threading based parallel computing. You can obtain a nearly linear speed-up when using more CPU cores in your simulation. Starting from version 0.8, MMC also supports the Single-Instruction Multiple-Data (SIMD) parallism on modern CPUs, allowing MMC to take further advantage of modern processors.
The download link to this release can be accessed from here.
MMC 0.9.5 is a stable release. It contains fixes to a high priority bug that effects all simulations using a g=0 medium. Also, a number of key features (some are experimental) are added, including saving photon exit position and direction, photon "replay" for perturbation MC, and fast generation of absorption Jacobian. Another major addition is the MMCLAB toolbox - an easy-to-use interface to run MMC in MATLAB/Octave.
The new release was highly polished upon the previous version, v0.9.0, published over 2 years ago. The key changes include:
Pre-compiled MMC binaries are provided for Windows (64bit), Linux (64bit) and Mac OS (64bit). In all cases, a binary compiled with a fast SFMT-19937 RNG (mmc_sfmt) is included along with the default binary (mmc) using the GLIBC RNG.
Using mmc_sfmt is generally recommended over mmc. The highest simulation speed can be typically achieved by using
mmc_sfmt -M S -C 0 ....
One can recompile all binaries using an Intel C++ Compiler. It can generate binaries up to 25% faster than the equivalent binaries compiled with GCC.
The "multicore" MMC binaries can be used for almost all computers (even those with a single-core processor).
The "sse" binaries require your computer to support SSE4 instructions. This can be determined by using the following command on Linux/MacOS
grep 'sse4' /proc/cpuinfo
or using a freeware "CPU-Z" on windows. If you attempt to run the SSE4 on an unsupported computer, you will get an error when executing the binary. In that case, you should switch to the "multicore" binaries.