High performance computing for land cover dynamics

Rahul Parulekar; Joel Saltz; Larry Davis; Alan Sussman; Rama Chellappa; John Townshend

doi:10.1109/ICPR.1994.577168

High performance computing for land cover dynamics

Rahul Parulekar
, Joel Saltz
, Larry Davis
, Alan Sussman
, Rama Chellappa
, John Townshend

Biomedical Informatics

University of Maryland, College Park

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

We present the overall goals of our research program on the application of high performance computing to remote sensing applications, specifically applications in land cover dynamics. This involves developing scalable and portable programs for a variety of image and map data processing applications, eventually integrated with new models for parallel I/O of large scale images and maps. After an overview of the multiblock PARTI run time support system, we explain extensions made to that system to support image processing applications, and then present an example involving multiresolution image processing. Results of running the parallel code on both a TMC CM5 and an Intel Paragon are discussed.

Original language	English
Title of host publication	Conference C
Subtitle of host publication	Signal Processing and Conference D: Parallel Computing
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	234-238
Number of pages	5
ISBN (Electronic)	0818662751
DOIs	https://doi.org/10.1109/ICPR.1994.577168
State	Published - 1994
Event	12th IAPR International Conference on Pattern Recognition, ICPR 1994 - Jerusalem, Israel Duration: Oct 9 1994 → Oct 13 1994

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	3
ISSN (Print)	1051-4651

Conference

Conference	12th IAPR International Conference on Pattern Recognition, ICPR 1994
Country/Territory	Israel
City	Jerusalem
Period	10/9/94 → 10/13/94

Access to Document

10.1109/ICPR.1994.577168

Cite this

Parulekar, R., Saltz, J., Davis, L., Sussman, A., Chellappa, R., & Townshend, J. (1994). High performance computing for land cover dynamics. In Conference C: Signal Processing and Conference D: Parallel Computing (pp. 234-238). (Proceedings - International Conference on Pattern Recognition; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.1994.577168

@inproceedings{10f6aa5d8cac4fbca6247dfc748c71f6,

title = "High performance computing for land cover dynamics",

abstract = "We present the overall goals of our research program on the application of high performance computing to remote sensing applications, specifically applications in land cover dynamics. This involves developing scalable and portable programs for a variety of image and map data processing applications, eventually integrated with new models for parallel I/O of large scale images and maps. After an overview of the multiblock PARTI run time support system, we explain extensions made to that system to support image processing applications, and then present an example involving multiresolution image processing. Results of running the parallel code on both a TMC CM5 and an Intel Paragon are discussed.",

author = "Rahul Parulekar and Joel Saltz and Larry Davis and Alan Sussman and Rama Chellappa and John Townshend",

note = "Publisher Copyright: {\textcopyright} 1994 IEEE.; 12th IAPR International Conference on Pattern Recognition, ICPR 1994 ; Conference date: 09-10-1994 Through 13-10-1994",

year = "1994",

doi = "10.1109/ICPR.1994.577168",

language = "English",

series = "Proceedings - International Conference on Pattern Recognition",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "234--238",

booktitle = "Conference C",

}

Parulekar, R, Saltz, J, Davis, L, Sussman, A, Chellappa, R & Townshend, J 1994, High performance computing for land cover dynamics. in Conference C: Signal Processing and Conference D: Parallel Computing. Proceedings - International Conference on Pattern Recognition, vol. 3, Institute of Electrical and Electronics Engineers Inc., pp. 234-238, 12th IAPR International Conference on Pattern Recognition, ICPR 1994, Jerusalem, Israel, 10/9/94. https://doi.org/10.1109/ICPR.1994.577168

High performance computing for land cover dynamics. / Parulekar, Rahul; Saltz, Joel; Davis, Larry et al.
Conference C: Signal Processing and Conference D: Parallel Computing. Institute of Electrical and Electronics Engineers Inc., 1994. p. 234-238 (Proceedings - International Conference on Pattern Recognition; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - High performance computing for land cover dynamics

AU - Parulekar, Rahul

AU - Saltz, Joel

AU - Davis, Larry

AU - Sussman, Alan

AU - Chellappa, Rama

AU - Townshend, John

PY - 1994

Y1 - 1994

N2 - We present the overall goals of our research program on the application of high performance computing to remote sensing applications, specifically applications in land cover dynamics. This involves developing scalable and portable programs for a variety of image and map data processing applications, eventually integrated with new models for parallel I/O of large scale images and maps. After an overview of the multiblock PARTI run time support system, we explain extensions made to that system to support image processing applications, and then present an example involving multiresolution image processing. Results of running the parallel code on both a TMC CM5 and an Intel Paragon are discussed.

AB - We present the overall goals of our research program on the application of high performance computing to remote sensing applications, specifically applications in land cover dynamics. This involves developing scalable and portable programs for a variety of image and map data processing applications, eventually integrated with new models for parallel I/O of large scale images and maps. After an overview of the multiblock PARTI run time support system, we explain extensions made to that system to support image processing applications, and then present an example involving multiresolution image processing. Results of running the parallel code on both a TMC CM5 and an Intel Paragon are discussed.

UR - https://www.scopus.com/pages/publications/85027621896

U2 - 10.1109/ICPR.1994.577168

DO - 10.1109/ICPR.1994.577168

M3 - Conference contribution

AN - SCOPUS:85027621896

T3 - Proceedings - International Conference on Pattern Recognition

SP - 234

EP - 238

BT - Conference C

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th IAPR International Conference on Pattern Recognition, ICPR 1994

Y2 - 9 October 1994 through 13 October 1994

ER -

High performance computing for land cover dynamics

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