大规模数据场的并行可视化

Parallel visualization for large-scale datasets.

大规模数据场的并行可视化一直是科学计算可视化中极具挑战性的一个研究领域 .本文介绍了我们设计与实现的一个面向大规模工程计算的小型并行可视化系统 ,该系统采用了场特征分析技术来提高可视化的质量 .可支持计算和可视化在计算服务器上同时进行 ,并可将可视化结果——可视的图形元素简化后输出到用户端进行显示 .为用户提供了大量的并行可视化算法 ,其中一些是其它商品化软件所未包括的 。

Parallel visualization for large\|scale datasets in a very challenging topic in scientific visualization. A parallel visualization system for large\|scale datasets is described. Feature analysis techniques are employed to improve the quality of visualization results. This system supports concurrent visualization with computation and outputs a simplified small graphic primitive set, which can be displayed by a small basic viewer on clients. This system provides many kinds of parallel visualization algorithms for the users to visualize their data form scalar, vector to tensor, some of which are not included in other commercial software. The experimental results show the effectiveness of the system.