Design, implementation and evaluation of parallel pipelined STAP on parallel computers

Alok Choudhary*, Wei keng Liao, Donald Weiner, Pramod Varshney, Richard Linderman, Mark Linderman

*Corresponding author for this work

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

14 Scopus citations

Abstract

This paper presents performance results for the design and implementation of parallel pipelined Space-Time Adaptive Processing (STAP) algorithms on parallel computers. In particular, the paper describes the issues involved in parallelization, our approach to parallelization and performance results on an Intel Paragon. The paper also discusses the process of developing software for such an application on parallel computers when latency and throughput are both considered together and presents tradeoffs considered with respect to inter and intra-task communication and data redistribution. The results show that not only scalable performance was achieved for individual component tasks of STAP but linear speedups were obtained for the integrated task performance, both for latency as well as throughput. Results are presented for up to 236 compute nodes (limited by the machine size available to us). Another interesting observation made from the implementation results is that performance improvement due to the assignment of additional processors to one task can improve the performance of other tasks without any increase in the number of processors assigned to them. Normally, this cannot be predicted by theoretical analysis.

Original languageEnglish (US)
Title of host publicationProceedings of the International Parallel Processing Symposium, IPPS
PublisherIEEE Comp Soc
Pages220-225
Number of pages6
ISBN (Print)0818684046
DOIs
StatePublished - 1998
EventProceedings of the 1998 12th International Parallel Processing Symposium and 9th Symposium on Parallel and Distributed Processing - Orlando, FL, USA
Duration: Mar 30 1998Apr 3 1998

Other

OtherProceedings of the 1998 12th International Parallel Processing Symposium and 9th Symposium on Parallel and Distributed Processing
CityOrlando, FL, USA
Period3/30/984/3/98

ASJC Scopus subject areas

  • Hardware and Architecture

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