Real-time parallel video image processing on PC-cluster

Daisaku Arita; Naoyuki Tsuruta; Rin Ichiro Taniguchi

doi:10.1117/12.323471

Real-time parallel video image processing on PC-cluster

Daisaku Arita, Naoyuki Tsuruta, Rin Ichiro Taniguchi

Real world robotics

Research output: Contribution to journal › Conference article › peer-review

8 Citations (Scopus)

Abstract

This paper describes a PC-cluster system for real-time parallel video image processing. The PC-cluster consists of seven PCs connected by a very high speed network. The key issue of this system is synchronization of distributed video data. Frame synchronization block is introduced to realize three kinds of synchronization: forward synchronization, barrier synchronization and backward synchronization. Forward synchronization is to notify of timing to start processing. Barrier synchronization is to wait for all data that are processed at the same time. Backward synchronization is to cancel processing and transferring useless data. Experimental results are also shown to confirm the performance of the PC-cluster.

Original language	English
Pages (from-to)	23-32
Number of pages	10
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	3452
DOIs	https://doi.org/10.1117/12.323471
Publication status	Published - Dec 1 1998
Event	Parallel and Distributed Methods for Image Processing II - San Diego, CA, United States Duration: Jul 19 1998 → Jul 20 1998

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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title = "Real-time parallel video image processing on PC-cluster",

abstract = "This paper describes a PC-cluster system for real-time parallel video image processing. The PC-cluster consists of seven PCs connected by a very high speed network. The key issue of this system is synchronization of distributed video data. Frame synchronization block is introduced to realize three kinds of synchronization: forward synchronization, barrier synchronization and backward synchronization. Forward synchronization is to notify of timing to start processing. Barrier synchronization is to wait for all data that are processed at the same time. Backward synchronization is to cancel processing and transferring useless data. Experimental results are also shown to confirm the performance of the PC-cluster.",

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AB - This paper describes a PC-cluster system for real-time parallel video image processing. The PC-cluster consists of seven PCs connected by a very high speed network. The key issue of this system is synchronization of distributed video data. Frame synchronization block is introduced to realize three kinds of synchronization: forward synchronization, barrier synchronization and backward synchronization. Forward synchronization is to notify of timing to start processing. Barrier synchronization is to wait for all data that are processed at the same time. Backward synchronization is to cancel processing and transferring useless data. Experimental results are also shown to confirm the performance of the PC-cluster.

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