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Efficient parallel video processing through concurrent communication on a multi-port star network

  • IEEE
  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Communication delay in a processor network is very critical to the throughput for parallel video processing. We propose a simultaneous distribution and collection method (SD) from the root processor to children processors via a multi-port switch network. For the proposed mechanism, we analyze the video encoding time and derive a closed-form solution for a star interconnection network topology. The results show that the total encoding time is significantly faster than the previous method, Parallel Interlaced (PI). In addition, we achieve scalability in terms of the number of processors, which means that as the number of processors increases over the optimal number of processors of PI, one continues to achieve much better performance.

Original languageEnglish
Title of host publication2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages458-463
Number of pages6
ISBN (Print)1424403502, 9781424403509
DOIs
StatePublished - 2006
Event2006 40th Annual Conference on Information Sciences and Systems, CISS 2006 - Princeton, NJ, United States
Duration: Mar 22 2006Mar 24 2006

Publication series

Name2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings

Conference

Conference2006 40th Annual Conference on Information Sciences and Systems, CISS 2006
Country/TerritoryUnited States
CityPrinceton, NJ
Period03/22/0603/24/06

Keywords

  • Concurrent communication
  • Divisible load theory
  • Parallel video scheduling
  • Star network

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