Because the Monte Carlo method is ideally suited for parallel processing architectures and acceleration with graphics processing units (GPUs), we have developed a fast GPU Monte Carlo implementation for radiativ
[Yan2020] Shijie Yan and Qianqian Fang* (2020), "Hybrid mesh and voxel based Monte Carlo algorithm for accurate and efficient photon transport modeling in complex bio-tissues," Biomed. Opt. Express, 11(11) pp. 6262-6270.https://www.osapublishing.org/boe/abstract.cfm?uri=boe-11-11-6262...
50.3.2Monte Carlo Algorithm to Generate X-Ray Tracks The MC code described in this chapter[1–3]simulates a radiographic image by averaging the individual contributions to the image from a large number of x-ray tracks across the patient's body. From 109to 1012tracks may be required to obta...
Monte Carlo Integration Algorithm Function: monte_carlo_integration This function performs Monte Carlo integration of an arbitrary user-defined function over a specified multidimensional space. The integral is computed by evaluating the function at random sample points and then scaling the result by the ...
While writing kernel code is fairly straightforward, achieving efficiency and performance requires very careful optimisation decisions and changes to the original serial algorithm. We introduce a parallel canonical ensemble Monte Carlo (MC) simulation that runs entirely on the GPU. In this paper, we ...
Discussion This study shows that a new GPU-based Monte Carlo simulation algorithm for producing forward projections in the SPECT reconstruction can generate high-quality clinical images within 3 min, with a clearly improved recovery compared with attenuated corrected OSEM reconstruction and with similar ...
algorithm 显卡驱动为 版 版 4 结果与分析 Couette 、 CUDA GPU GPU 模拟计算了二维 流动 二维顶盖驱动方腔流两个工况来验证基于 的单 和多 上 DSMC . (HS), 20 000 , GPU 的 的并行加速算法 所用分子碰撞模型为硬球模型 运行时间是 个时间步长 多 指 的是双核GPU. 下面简要分析各个工况及计算所得结果...
I just finished a CUDA program to transport x rays in the GPU using a Monte Carlo algorithm. External Media Sounds very interesting indeed! I would certainly like a copy of your pre-print. I have been toying with the idea of MC radiation transport on the GPU as well, but for photon en...
While writing kernel code is fairly straightforward, achieving efficiency and performance requires very careful optimisation decisions and changes to the original serial algorithm. We introduce a parallel canonical ensemble Monte Carlo (MC) simulation that runs entirely on the GPU. In this paper, we ...
It is expected that the best possible performance is attainable by porting the Monte Carlo random walk to the GPU. In order to understand how the VRC estimator method compares to porting the entire Monte Carlo algorithm to the GPU, a review of other research has been performed. Comparisons ...