Date of Award
2021
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Computer Science
Committee Chair
Timothy Newman
Committee Member
Ramazan Aygun
Committee Member
Heggere S. Ranganath
Committee Member
Mary Ellen Weisskopf
Committee Member
Earl Wells
Subject(s)
Information visualization, Data compression (Computer science), Computer graphics, High performance computing
Abstract
This dissertation focuses on increasing isosurfacing speed through novel compression approaches. The compression occurs on a cell-by-cell basis during isosurface extraction, as opposed to compressing the mesh in a post-processing step. The compression is applied to isosurfacing on cluster computers, and it postpones scalability plateauing of prior parallel isosurfacers by reducing communication on cluster computers (versus the prior state of the art). A novel view-dependent isosurface mesh decompressor and improved isosurface orientation estimator for sparse datasets via quadratic splines fit to tetrahedral decompositions of the datasets are also described. Experimental results for all efforts, which quantify their effectiveness, are also presented.
Recommended Citation
Wood, Brian, "Improved isosurfacing through compression and sparse grid orientation estimation" (2021). Dissertations. 229.
https://louis.uah.edu/uah-dissertations/229