2001
Kniss, Joe; McCormick, Patrick; McPherson, Allen; Ahrens, James; Painter, James; Keahey, Alan; Hansen, Charles
TRex: Interactive Texture Based Volume Rendering for Extremely Large Datasets Journal Article
In: 2001, (LA-UR-01-1723).
Abstract | Links | BibTeX | Tags: interactive, texture, volume rendering
@article{knissytrex,
title = {TRex: Interactive Texture Based Volume Rendering for Extremely Large Datasets},
author = {Joe Kniss and Patrick McCormick and Allen McPherson and James Ahrens and James Painter and Alan Keahey and Charles Hansen},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/TRexInteractiveTextureBasedVolumeRenderingForExtremelyLargeDatasets.pdf},
year = {2001},
date = {2001-08-01},
abstract = {Many of today’s scientific simulations are capable of producing terabytes to petabytes of data. Visualization plays a critical role in understanding and analyzing the results of these simulations. Hardware accelerated direct volume rendering has proven to be an excellent visualization modality for both scientific and medical data sets. Current graphics hardware implementations limit the size of interactive datasets to sizes that are orders of magnitude smaller than these datasets. We present a scalable system which takes advantage of parallel graphics hardware, software based compositing, and high performance I/O. The goals of our application are to provide near interactive display rates for terabyte sized, time-varying, datasets and allow moderately sized datasets to be visualized in virtual environments. We also present a novel set of direct manipulation widgets for interacting with, and querying, the visualization.},
note = {LA-UR-01-1723},
keywords = {interactive, texture, volume rendering},
pubstate = {published},
tppubtype = {article}
}
Many of today’s scientific simulations are capable of producing terabytes to petabytes of data. Visualization plays a critical role in understanding and analyzing the results of these simulations. Hardware accelerated direct volume rendering has proven to be an excellent visualization modality for both scientific and medical data sets. Current graphics hardware implementations limit the size of interactive datasets to sizes that are orders of magnitude smaller than these datasets. We present a scalable system which takes advantage of parallel graphics hardware, software based compositing, and high performance I/O. The goals of our application are to provide near interactive display rates for terabyte sized, time-varying, datasets and allow moderately sized datasets to be visualized in virtual environments. We also present a novel set of direct manipulation widgets for interacting with, and querying, the visualization.
: . .
1.
Kniss, Joe; McCormick, Patrick; McPherson, Allen; Ahrens, James; Painter, James; Keahey, Alan; Hansen, Charles
TRex: Interactive Texture Based Volume Rendering for Extremely Large Datasets Journal Article
In: 2001, (LA-UR-01-1723).
@article{knissytrex,
title = {TRex: Interactive Texture Based Volume Rendering for Extremely Large Datasets},
author = {Joe Kniss and Patrick McCormick and Allen McPherson and James Ahrens and James Painter and Alan Keahey and Charles Hansen},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/TRexInteractiveTextureBasedVolumeRenderingForExtremelyLargeDatasets.pdf},
year = {2001},
date = {2001-08-01},
abstract = {Many of today’s scientific simulations are capable of producing terabytes to petabytes of data. Visualization plays a critical role in understanding and analyzing the results of these simulations. Hardware accelerated direct volume rendering has proven to be an excellent visualization modality for both scientific and medical data sets. Current graphics hardware implementations limit the size of interactive datasets to sizes that are orders of magnitude smaller than these datasets. We present a scalable system which takes advantage of parallel graphics hardware, software based compositing, and high performance I/O. The goals of our application are to provide near interactive display rates for terabyte sized, time-varying, datasets and allow moderately sized datasets to be visualized in virtual environments. We also present a novel set of direct manipulation widgets for interacting with, and querying, the visualization.},
note = {LA-UR-01-1723},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Many of today’s scientific simulations are capable of producing terabytes to petabytes of data. Visualization plays a critical role in understanding and analyzing the results of these simulations. Hardware accelerated direct volume rendering has proven to be an excellent visualization modality for both scientific and medical data sets. Current graphics hardware implementations limit the size of interactive datasets to sizes that are orders of magnitude smaller than these datasets. We present a scalable system which takes advantage of parallel graphics hardware, software based compositing, and high performance I/O. The goals of our application are to provide near interactive display rates for terabyte sized, time-varying, datasets and allow moderately sized datasets to be visualized in virtual environments. We also present a novel set of direct manipulation widgets for interacting with, and querying, the visualization.