What is GPU-MCML? GPU-MCML is a highly optimized Monte Carlo (MC) code package for simulating light transport in multilayered turbid media. It is the GPU version of the widely cited MC code package in biophotonics called MCML which is a sequential C code.

Publication

Erik Alerstam, William Chun Yip Lo, Tianyi David Han, Jonathan Rose, Stefan Andersson-Engels, and Lothar Lilge, "Next-generation acceleration and code optimization for light transport in turbid media using GPUs," Biomed. Opt. Express 1, 658-675 (2010) PDF

Features

1. Compatible with the state-of-the-art Fermi GPU architecture (e.g., GTX 480)
2. Backward compatible with a wide range of CUDA-enabled graphics cards (e.g., GTX 280 or GTX 295)
3. Multi-GPU support
4. Optimized atomic accesses to global memory
5. Runs on Windows (XP, Vista, and Win 7), Mac OS X, and Ubuntu.

Latest Release