A distributed rendering environment for massive data on computational grids

Scientific visualization, especially for massive data sets, has emerged in different disciplines recently. Generally, distributed scientific visualization applications require multiple resources, e.g., high-end computing resources to process data, high speed network for data transfer and large size database for data storage. Furthermore, these applications will meet research challenges, e.g., heterogeneous resources, geographically distributed environment and considerable communication delay. We study an application of distributed massive data rendering. We present infrastructure of the distributed rendering environment and explain how grid technologies are used in this application. Dynamic pixel bucket partition (DPBP) algorithm is a new algorithm proposed for task allocation of distributed rendering application in computational grids. Experiments in real test ted shows the performance of DPBP algorithm and the framework.