Publication Type |
Journal Article |
School or College |
College of Engineering |
Department |
Computing, School of |
Program |
Center for the Simulation of Accidental Fires and Explosions (C-SAFE) |
Creator |
Parker, Steven G. |
Other Author |
Ma, Kwan-Liu |
Title |
Massively parallel software rendering for visualizing large-scale data sets |
Date |
2001 |
Description |
For some time, researchers have done production visualization almost exclusively using high-end graphics workstations. They routinely archived and analyzed the outputs of simulations running on massively parallel supercomputers. Generally, a feature extraction step and a geometric modeling step to significantly reduce the data's size preceded the actual data rendering. Researchers also used this procedure to visualize large-scale data produced by high-resolution sensors and scanners. While the graphics workstation allowed interactive visualization of the extracted data, looking only at a lower resolution and polygonal representation of the data defeated the original purpose of performing the high-resolution simulation or scanning. |
Type |
Text |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
Volume |
21 |
Issue |
4 |
First Page |
72 |
Last Page |
83 |
Subject |
Parallel rendering; Volume rendering; Ray tracing; Isosurfacing |
Subject LCSH |
Visualization -- Data processing; Computer algorithms; Computer graphics; Parallel processing (Electronic computers) |
Language |
eng |
Bibliographic Citation |
Ma, K., & Parker, S. G. (2001). Massively parallel software rendering for visualizing large-scale data sets. IEEE Computer Graphics and Applications, 21(4), 72-83. |
Rights Management |
(c) 2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Format Medium |
application/pdf |
Format Extent |
673,847 bytes |
Identifier |
ir-main,7015 |
ARK |
ark:/87278/s6qr5fq9 |
Setname |
ir_uspace |
ID |
706813 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6qr5fq9 |