I/O implementation and evaluation of parallel pipelined STAP on high performance computers

Wei Keng Liao, Alok Choudhary, Donald Weiner, Pramod Varshney

Research output: Chapter in Book/Entry/PoemConference contribution

Abstract

This paper presents experimental performance results for a parallel pipeline STAP system with I/O task implementation. In our previous work, a parallel pipeline model was designed for radar signal processing applications on parallel computers. Based on this model, we implemented a real STAP application which demonstrated the performance scalability of this model in terms of throughput and latency. The parallel pipeline model normally does not include I/O task because the input data can be provided directly from radars. However, I/O can also be done through disk file systems if radar data is stored in disks first. In this paper, we study the effect on system performance when the I/O task is incorporated in the parallel pipeline model. We used the parallel file systems on the Intel Paragon and the IBM SP to perform parallel I/O and studied its effects on the overall performance of the pipeline system. All the performance results shown in this paper demonstrated the scalability of parallel I/O implementation on the parallel pipeline STAP system.

Original languageEnglish (US)
Title of host publicationHigh Performance Computing, HiPC 1999 - 6th International Conference, Proceedings
Pages354-358
Number of pages5
DOIs
StatePublished - 1999
Event6th International Conference on High Performance Computing, HiPC 1999 - Calcutta, India
Duration: Dec 17 1999Dec 20 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1745 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on High Performance Computing, HiPC 1999
Country/TerritoryIndia
CityCalcutta
Period12/17/9912/20/99

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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