Grid-Enabled Visualization of Large Datasets

In the past years, scientific visualization has become a rapid, emerging discipline aiming at developing approaches and tools to facilitate the intepretation of and interaction with large amounts of data, possibly with high resolution and long time series. Typical visualizations are compute-intensive, therefore, single-system visualization software cannot scale up to this large data size. One effective approach to solve such problems is to parallelize or distribute the needed computation on different machines in order to reduce the overall computing time. In this paper, we describe a work that integrates the Grid technologies to distributedly process the multiple visualization requests, thereby optimizing the overall system performance. In it, we adopted Grid’s functionalities and advantages to develop compute-intensive systems. The work we present may have a significant impact as techniques developed in the system can provide the basic building block for future efficient implementation of large complex data visualization systems