In situ depth maps based feature extraction and tracking

Yucong Chris Ye, Yang Wang, Robert Miller, Kwan Liu Ma, Kenji Ono

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Parallel numerical simulation is a powerful tool used by scientists to study complex problems. It has been a common practice to save the simulation output to disk and then conduct post-hoc in-depth analyses of the saved data. System I/O capabilities have not kept pace as simulations have scaled up over time, so a common approach has been to output only subsets of the data to reduce I/O. However, as we are entering the era of peta-and exa-scale computing, this sub-sampling approach is no longer acceptable because too much valuable information is lost. In situ visualization has been shown a promising approach to the data problem at extreme-scale. We present a novel in situ solution using depth maps to enable post-hoc image-based visualization and feature extraction and tracking. An interactive interface is provided to allow for fine-tuning the generation of depth maps during the course of a simulation run to better capture the features of interest. We use several applications including one actual simulation run on a Cray XE6 supercomputer to demonstrate the effectiveness of our approach.

Original languageEnglish
Title of host publicationIEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings
EditorsJanine Bennett, Hank Childs, Markus Hadwiger, Hank Childs
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781467385176
DOIs
Publication statusPublished - Dec 4 2015
Event5th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2015 - Chicago, United States
Duration: Oct 25 2015Oct 26 2015

Publication series

NameIEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings

Other

Other5th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2015
CountryUnited States
CityChicago
Period10/25/1510/26/15

Fingerprint

Feature extraction
Visualization
simulation
Supercomputers
Tuning
visualization
Sampling
Computer simulation

All Science Journal Classification (ASJC) codes

  • Communication
  • Computer Networks and Communications
  • Signal Processing

Cite this

Ye, Y. C., Wang, Y., Miller, R., Ma, K. L., & Ono, K. (2015). In situ depth maps based feature extraction and tracking. In J. Bennett, H. Childs, M. Hadwiger, & H. Childs (Eds.), IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings (pp. 1-8). [7348065] (IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LDAV.2015.7348065

In situ depth maps based feature extraction and tracking. / Ye, Yucong Chris; Wang, Yang; Miller, Robert; Ma, Kwan Liu; Ono, Kenji.

IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings. ed. / Janine Bennett; Hank Childs; Markus Hadwiger; Hank Childs. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1-8 7348065 (IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ye, YC, Wang, Y, Miller, R, Ma, KL & Ono, K 2015, In situ depth maps based feature extraction and tracking. in J Bennett, H Childs, M Hadwiger & H Childs (eds), IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings., 7348065, IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1-8, 5th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2015, Chicago, United States, 10/25/15. https://doi.org/10.1109/LDAV.2015.7348065
Ye YC, Wang Y, Miller R, Ma KL, Ono K. In situ depth maps based feature extraction and tracking. In Bennett J, Childs H, Hadwiger M, Childs H, editors, IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1-8. 7348065. (IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings). https://doi.org/10.1109/LDAV.2015.7348065
Ye, Yucong Chris ; Wang, Yang ; Miller, Robert ; Ma, Kwan Liu ; Ono, Kenji. / In situ depth maps based feature extraction and tracking. IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings. editor / Janine Bennett ; Hank Childs ; Markus Hadwiger ; Hank Childs. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1-8 (IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings).
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