Initial experiences with grid-based volume visualization of fluid flow simulations on PC clusters

David H Porter; Paul R Woodward; Anusha Iyer

doi:10.1117/12.587382

Initial experiences with grid-based volume visualization of fluid flow simulations on PC clusters

David H Porter, Paul R Woodward, Anusha Iyer

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

The shifting of the data analysis and visualization applications by University of Minnesota from small clusters of PCs within the Laboratory for Computational Science & Engineering (LCSE) to a Grid-based approach using multiple PC clusters with dynamically varying ability is discussed. The visualization software develped at LCSE deals with hv-file and each hv-file is made up of a hierarchically organized collection of bricks of bytes along with metadata. The hierarchical volume rendering (HVR) utility is used to interactively designate a complex visual tour through the data as a sequence of key frames. A data movement orchestration utility is also built which allows users to specify extremely large and complex sequences of file movements.

Original language	English (US)
Article number	13
Pages (from-to)	115-125
Number of pages	11
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5669
DOIs	https://doi.org/10.1117/12.587382
State	Published - 2005
Event	Proceedings of SPIE-IS and T Electronic Imaging - Visualization and Data Analysis 2005 - San Jose, CA, United States Duration: Jan 17 2005 → Jan 18 2005

Keywords

Parallel and distributed volume visualization
Visualization of extremely large datasets

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title = "Initial experiences with grid-based volume visualization of fluid flow simulations on PC clusters",

abstract = "The shifting of the data analysis and visualization applications by University of Minnesota from small clusters of PCs within the Laboratory for Computational Science & Engineering (LCSE) to a Grid-based approach using multiple PC clusters with dynamically varying ability is discussed. The visualization software develped at LCSE deals with hv-file and each hv-file is made up of a hierarchically organized collection of bricks of bytes along with metadata. The hierarchical volume rendering (HVR) utility is used to interactively designate a complex visual tour through the data as a sequence of key frames. A data movement orchestration utility is also built which allows users to specify extremely large and complex sequences of file movements.",

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AB - The shifting of the data analysis and visualization applications by University of Minnesota from small clusters of PCs within the Laboratory for Computational Science & Engineering (LCSE) to a Grid-based approach using multiple PC clusters with dynamically varying ability is discussed. The visualization software develped at LCSE deals with hv-file and each hv-file is made up of a hierarchically organized collection of bricks of bytes along with metadata. The hierarchical volume rendering (HVR) utility is used to interactively designate a complex visual tour through the data as a sequence of key frames. A data movement orchestration utility is also built which allows users to specify extremely large and complex sequences of file movements.

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Initial experiences with grid-based volume visualization of fluid flow simulations on PC clusters

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