海量超声数据体可视化研究

近年来,随着科学数据的快速增长,海量数据的可视化分析成了急需解决的难题.越来越多的处理海量数据的方法向着并行、分布式处理的方向发展.本文提出了一种混合的框架来处理海量的超声数据,该框架通过整合多种硬件环境和计算资源来处理海量数据;所有的数据都存放在一个基于高速网络环境的数据共享中心,具有高性能显卡的前端工作站将耗时的处理任务分配到网络中的计算结点,而自身处理显示和交互的操作;同时基于OpenCL和OpenMP实现了可视化算法在GPU和CPU上的并行计算;核外算法应用在本框架中来处理海量的体数据.实验结果表明,本文提出的框架不仅可以处理海量数据,而且具有较高的交互性能.

Research of Large UItrasonic Data VisuaIization

In recent years,with the rapid growth of scientific data,large data analysis has become urgent problems. More and more large-data processing methods are modified to perform computation under parallel and distributed computing environment.In this paper,we present a hybrid architecture for large volume data visualization and processing.Various hard-ware environments and technologies are integrated in this architecture to perform interactive operations on very large volume datasets.All the datasets are stored in a data center with a gigabit network environment.The time-consuming data processing tasks are dispatched to the computing nodes connected to the same network,while the visualization and interaction operations are executed on a high-performance graphics workstation.OpenCL and OpenMP are used to implement volume rendering al-gorithms for accelerating visualization of a hierarchical volume data structure by both GPU and CPU with multi-cores,and some out-of-core algorithms are also presented to process the large dataset directly.The experimental results and practical ap-plication indicate that the hybrid architecture and methods presented in this paper are effective and efficient for the processing and visualization of very large volume datasets.