A Parallel Point Generation Using Monte Carlo Methods for Point Based Visualization of Multiple Volume Data

多核处理器或PC集群系统的发展使并行处理技术能够实现大规模和快速的计算。在这样的计算中，计算机可视化在复杂和大量结果的评估中起着重要的作用。我们研究并开发了一种基于点绘制的融合和可视化多个体数据的方法。该可视化算法采用蒙特卡罗方法生成并行点。

The evolving technologies of multicore processors or a PC clustering system enable a large scale and a fast calculations with parallel processing techniques. In such calculations, computer visualization plays the role in evaluations of complex and a lot of results. We have researched and developed a method to fuse and visualize multiple volume data based on a point-based rendering. Especially, that visualization algorithm utilizes a Monte Carlo method for the parallel point generation.