Abstract
Traditional computational fluid dynamics (CFD) solvers are usually written for a single gridding paradigm such as structured-Cartesian, structured-body-fitted, or unstructured grids. Each type of mesh paradigms has inherent advantages and disadvantages. Thus, the methods of coupling multiple mesh paradigms have been developed to facilitate the use of different solvers in different part of the computational domain. However, the complex hybrid gridding paradigm poses challenges to rendering calculations for visualizing the data. This paper describes a volume visualization system for time-varying adaptive moving-body CFD datasets, where the grid system consists of unstructured grids near the body surface, coupled with Structured Adaptive Mesh Refinement (SAMR) grid in the off-body domain. We present two approaches to the hybrid-grid volume ray casting: a KD-tree based single-pass algorithm, and a multi-pass algorithm using the depth peeling technique. The system has a three-level memory hierarchy: GPU memory, main memory, and a solid state drive (SSD). Through data caching and prefetching within the memory hierarchy, the latency of time-step swapping can be hidden. Experimental results show that our system allows interactive volume exploration on single-GPU commodity PCs.
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE Symposium on Large Data Analysis and Visualization 2014, LDAV 2014 - Proceedings |
| Editors | Hank Childs, Hank Childs, Renato Pajarola, Venkatram Vishwanath |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 93-100 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781479952151 |
| DOIs | |
| State | Published - Jan 16 2014 |
| Event | 4th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2014 - Paris, France Duration: Oct 9 2014 → Oct 10 2014 |
Other
| Other | 4th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2014 |
|---|---|
| Country | France |
| City | Paris |
| Period | 10/9/14 → 10/10/14 |
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ASJC Scopus subject areas
- Information Systems
- Computer Vision and Pattern Recognition
Cite this
Out-of-core visualization of time-varying hybrid-grid volume data. / Shih, Min; Zhang, Yubo; Ma, Kwan-Liu; Sitaraman, Jayanarayanan; Mavriplis, Dimitri.
IEEE Symposium on Large Data Analysis and Visualization 2014, LDAV 2014 - Proceedings. ed. / Hank Childs; Hank Childs; Renato Pajarola; Venkatram Vishwanath. Institute of Electrical and Electronics Engineers Inc., 2014. p. 93-100 7013209.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Out-of-core visualization of time-varying hybrid-grid volume data
AU - Shih, Min
AU - Zhang, Yubo
AU - Ma, Kwan-Liu
AU - Sitaraman, Jayanarayanan
AU - Mavriplis, Dimitri
PY - 2014/1/16
Y1 - 2014/1/16
N2 - Traditional computational fluid dynamics (CFD) solvers are usually written for a single gridding paradigm such as structured-Cartesian, structured-body-fitted, or unstructured grids. Each type of mesh paradigms has inherent advantages and disadvantages. Thus, the methods of coupling multiple mesh paradigms have been developed to facilitate the use of different solvers in different part of the computational domain. However, the complex hybrid gridding paradigm poses challenges to rendering calculations for visualizing the data. This paper describes a volume visualization system for time-varying adaptive moving-body CFD datasets, where the grid system consists of unstructured grids near the body surface, coupled with Structured Adaptive Mesh Refinement (SAMR) grid in the off-body domain. We present two approaches to the hybrid-grid volume ray casting: a KD-tree based single-pass algorithm, and a multi-pass algorithm using the depth peeling technique. The system has a three-level memory hierarchy: GPU memory, main memory, and a solid state drive (SSD). Through data caching and prefetching within the memory hierarchy, the latency of time-step swapping can be hidden. Experimental results show that our system allows interactive volume exploration on single-GPU commodity PCs.
AB - Traditional computational fluid dynamics (CFD) solvers are usually written for a single gridding paradigm such as structured-Cartesian, structured-body-fitted, or unstructured grids. Each type of mesh paradigms has inherent advantages and disadvantages. Thus, the methods of coupling multiple mesh paradigms have been developed to facilitate the use of different solvers in different part of the computational domain. However, the complex hybrid gridding paradigm poses challenges to rendering calculations for visualizing the data. This paper describes a volume visualization system for time-varying adaptive moving-body CFD datasets, where the grid system consists of unstructured grids near the body surface, coupled with Structured Adaptive Mesh Refinement (SAMR) grid in the off-body domain. We present two approaches to the hybrid-grid volume ray casting: a KD-tree based single-pass algorithm, and a multi-pass algorithm using the depth peeling technique. The system has a three-level memory hierarchy: GPU memory, main memory, and a solid state drive (SSD). Through data caching and prefetching within the memory hierarchy, the latency of time-step swapping can be hidden. Experimental results show that our system allows interactive volume exploration on single-GPU commodity PCs.
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U2 - 10.1109/LDAV.2014.7013209
DO - 10.1109/LDAV.2014.7013209
M3 - Conference contribution
SP - 93
EP - 100
BT - IEEE Symposium on Large Data Analysis and Visualization 2014, LDAV 2014 - Proceedings
A2 - Childs, Hank
A2 - Childs, Hank
A2 - Pajarola, Renato
A2 - Vishwanath, Venkatram
PB - Institute of Electrical and Electronics Engineers Inc.
ER -