Hibbard, Paul, Santek, Dyer, Battaiola and Voidrot-Martinez design an interactive, scientific visualization application [9]. They seek to bridge the barrier between scientists and their computations and allow them to experiment with their algorithms.
Elvins describes five foundation algorithms for volume visualization in an intuitive, straight-forward manner [4]. His paper includes references to many other papers that give the algorithm details.
Singh, Gupta and Levoy show that shared-address-space multiprocessors are effective vehicles for speeding up visualization and image synthesis algorithms [18]. Their article demonstrates excellent parallel speedups on some well-known sequential algorithms.
We propose an application that will use techniques developed in other scientific visualization applications. In particular, we use performance results from Singh, et al. and may implement some of the algorithms that Elvins describes.