Monte Carlo Studies of Light Transport through Natural Atmospheres. Computer methods and programs in biomedicine, Vol. Light transport in tissue by 3D Monte Carlo: Influence of boundary voxelization. Tiziano Binzoni, Terence Leung, Remo Giust, Daniel Rüfenacht, and Amir Gandjbakhche.Validation of combined Monte Carlo and photokinetic simulations for the outcome correlation analysis of benzoporphyrin derivative-mediated photodynamic therapy on mice.

Karl Beeson, Evgueni Parilov, Mary Potasek, Michele Kim, and Timothy Zhu.Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration. Erik Alerstam, Tomas Svensson, and Stefan Andersson-Engels.Next-generation acceleration and code optimization for light transport in turbid media using GPUs. Erik Alerstam, William Lo, Tianyi David Han, Jonathan Rose, Stefan Andersson-Engels, and Lothar Lilge.This led to a hybrid design style that can improve productivity when developing complex applications on an FPGA. However, achieving competitive area and performance required careful design of the hardware pipeline and expression of its structure in OpenCL. We achieved these gains by developing in an agile fashion using OpenCL to facilitate quick prototyping and hardware-software partitioning. We discuss methods for extending the design to improve the performance and energy-efficiency ratios to 16x and 17x, respectively. FullMonteFPGACL has been validated and benchmarked using several models and achieves improvements in performance (4x) and energy-efficiency (11x) over the optimized and multi-threaded FullMonteSW implementation. This work presents FullMonteFPGACL: an FPGA-accelerated version of FullMonteSW using an Intel Stratix 10 FPGA and the Intel FPGA SDK for OpenCL. It models complex 3D geometries with tetrahedral meshes and uses Monte Carlo techniques to model photon interactions with tissues. This involves running many forward light propagation simulations which is time-consuming and computationally intensive.Ĭurrently, the fastest general software solver for this problem is FulMonteSW. These problems have no closed-form solution and therefore must be solved numerically using an iterative method. To optimize PDT an inverse problem, which works backwards from a desired distribution of light to the parameters that caused it, must be solved. The simulation of light propagation through tissues is important for medical applications, such as photodynamic therapy (PDT) for cancer treatment.

Fpga simulation software