Distributed Heterogeneous Visualization, Bop (Bag-O-Polygons) and Bop View

摘要

With the increased use of parallel and super computers in scientific computing,the size of datasets that need to be visualized can easily reach into the gigabyte range. Even by utilizing data reduction techniques such as isosurface generation, scenes containing hundreds of thousands or millions of polygons are common. Standard techniques of data visualization quickly become overwhelmed and too time consuming to be practical. New methods and utilities need to be developed to handle these massive datasets. Bop (Bag-O-Polygons), Bop View, and associated utilities are an attempt to use distributed and parallel techniques to ease the processing of these. Bop is a data format designed for large number of polygons. A library of routines is provided for reading and writing this data to disk files. Additional routines allow this polygonal information to be shared across heterogeneous architectures. Finally, an application called Bop-View is provided to efficiently display the resulting information. Visualization, Distributed computing, Computers, Polygons.