Data-parallel visualisation using multi-dimensional transformations

This is the authors' abstract. We don't add key points for this paper.

The authors show how a flexible resampling approach can be embedded within massively parallel implementations of multidimensional transformation algorithms based on one-dimensional resampling operations. They provide a consistent solution to the resampling requirements across visualization applications. Based on this framework, two applications are outlined: a surface perspective viewing algorithm with hidden-surface removal and a volume rendering algorithm. These algorithms include regular and irregular resampling requirements. The algorithm considered here is well-suited to data-parallel SIMD (single-instruction multiple-data) processing, and performance on surface and volume visualization is sufficient to achieve interactive manipulation on large SIMD arrays.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>