A commodity-type graphics card with its graphics processing unit (GPU) is used to detect, compute and visualize the intersection of two spline surfaces, or the self-intersection of a single spline surface. The parallelism of the GPU facilitates fast and efficient subdivision and bounding box testing of smaller spline patches and their corresponding normal subpatches. This subdivision and testing is iterated until a prescribed level of accuracy is reached, after which results are returned to the main computer. We observe speedups up to 17 times relative to a contemporary 64 bit CPU. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Briseid, S., Dokken, T., Hagen, T. R., & Nygaard, J. O. (2006). Spline surface intersections optimized for GPUs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3994 LNCS-IV, pp. 204–211). Springer Verlag. https://doi.org/10.1007/11758549_32
Mendeley helps you to discover research relevant for your work.