A Caltech Library Service

Real Time Feature Extraction and Tracking in a Computational Steering Environment

Chen, J. and Silver, D. and Parashar, M. (2002) Real Time Feature Extraction and Tracking in a Computational Steering Environment. ASCI Technical Report, ASCI-TR198. . (Unpublished)

[img] PDF - Accepted Version
See Usage Policy.


Use this Persistent URL to link to this item:


Large distributed time-varying simulations are common in many scientific domains to study the evolution of various phenomena. These simulations produce thousands of timesteps which must be analyzed and interpreted. For datasets with evolving features, feature analysis and visualization tools are crucial to help interpret all the information. For example, it is usually important to know how many regions are evolving, what are their lifetimes, do they merge with others, how does the volume/mass change, etc. To be effective these visualization and analysis routines must also be parallelized in order to operate on the data where that data resides. Furthermore, interacting with the routines as the simulations are ongoing can aid in the analysis. In our previous work, we have developed a methodology for analyzing time-varying datasets which tracks 3D amorphous features as they evolve in time. In this paper, we describe the full parallel feature extraction and tracking algorithm within a computational steering environment for parallel and distributed simulations. We demonstrate how one can interact with the code and show various examples within ongoing computations.

Item Type:Report or Paper (Technical Report)
Additional Information:This work was done at the Vizlab, CAIP Center, Rutgers University. We gratefully acknowledge the support of the National Science Foundation (ITR 0082634). We would also like to thank Shuang Zhang for his help with the RM3D and RM2D simulations.
Group:Accelerated Strategic Computing Initiative
Funding AgencyGrant Number
Series Name:ASCI Technical Report
Issue or Number:ASCI-TR198
Record Number:CaltechAUTHORS:20230209-224336165
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:119114
Deposited By: George Porter
Deposited On:11 Feb 2023 02:26
Last Modified:11 Feb 2023 02:26

Repository Staff Only: item control page