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Parallel processing of spaceborne imaging radar data

Miller, Craig and Payne, David G. and Phung, Thanh N. and Siegel, Herb and Williams, Roy (1995) Parallel processing of spaceborne imaging radar data. In: Supercomputing '95 Proceedings of the 1995 ACM/IEEE conference on Supercomputing. ACM , New York, NY, Art. No. 35. ISBN 0-89791-816-9. https://resolver.caltech.edu/CaltechAUTHORS:20161130-164549194

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Abstract

We discuss the results of a collaborative project on parallel processing of Synthetic Aperture Radar (SAR) data, carried out between the NASA/Jet Propulsion Laboratory (JPL), the California Institute of Technology (Caltech) and Intel Scalable Systems Division (SSD). Through this collaborative effort, we have successfully parallelized the most compute-intensive SAR correlator phase of the Spaceborne Shuttle Imaging Radar-C/X-Band SAR (SIR-C/X-SAR) code, for the Intel Paragon. We describe the data decomposition, the scalable high-performance I/O model, and the node-level optimizations which enable us to obtain efficient processing throughput. In particular, we point out an interesting double level of parallelization arising in the data decomposition which increases substantially our ability to support ''high volume'' SAR. Results are presented from this code running in parallel on the Intel Paragon. A representative set of SAR data, of size 800 Megabytes, which was collected by the SIR-C/X-SAR instrument aboard NASA's Space Shuttle in 15 seconds, is processed in 55 seconds on the Concurrent Supercomputing Consortium's Paragon XP/S 35+. This compares well with a time of 12 minutes for the current SIR-C/X-SAR processing system at JPL. For the first time, a commercial system can process SIR-C/X-SAR data at a rate which is approaching the rate at which the SIR-C/X-SAR instrument can collect the data. This work has successfully demonstrated the viability of the Intel Paragon supercomputer for processing ''high volume" Synthetic Aperture Radar data in near real-time.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1145/224170.224281DOIArticle
http://dl.acm.org/citation.cfm?doid=224170.224281PublisherArticle
ORCID:
AuthorORCID
Williams, Roy0000-0002-9145-8580
Additional Information:© 1995 ACM. This research was sponsored in part by the NASA Office of Aeronautics High Performance Computing and Communications Division and the NASA Office of Mission to Planet Earth. We also thank the JPL SIR-C Project for their support. SIR-C/X-SAR is a joint project of NASA; the German space agency, Deutsche Agentur fur Raumfahrtangelegenheiten (DARA); and the Italian space agency, Agenzia Spaziale Italiana (ASI). The Jet Propulsion Laboratory of the California Institute of Technology manages the project for NASA. This research was performed in part using the Intel Paragon at Caltech. Access to this facility was provided by the California Institute of Technology, the Jet Propulsion Laboratory, and the Intel Corporation Scalable Systems Division.
Funders:
Funding AgencyGrant Number
NASA/JPL/CaltechUNSPECIFIED
Record Number:CaltechAUTHORS:20161130-164549194
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20161130-164549194
Official Citation:Craig Miller, David G. Payne, Thanh N. Phung, Herb Siegel, and Roy Williams. 1995. Parallel processing of spaceborne imaging radar data. In Proceedings of the 1995 ACM/IEEE conference on Supercomputing (Supercomputing '95). ACM, New York, NY, USA, , Article 35 . DOI=http://dx.doi.org/10.1145/224170.224281
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:72483
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:01 Dec 2016 08:19
Last Modified:03 Oct 2019 16:18

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