{"title":"Parallel Processing of Multichannel Video Based on Multicore Architecture","authors":"B. Kordic, V. Marinkovic, M. Popovic, V. Pekovic","doi":"10.1109/ECBS-EERC.2013.29","DOIUrl":null,"url":null,"abstract":"Parallel processing and multi-core architectures are being accepted in all segments of industry caused by the need for better performance in real-time and non-real-time systems. This paper presents an implementation of parallel processing system for multichannel video on a multicore architecture using different building blocks. Black Screen Detection algorithm is used for digital image processing. The implemented system was validated by means of a particular case study. Experimentally obtained results are related to analysis of the system scalability, in terms of processing speed up as a function of the number of cores that participate in the processing. Also, due to the specific memory architecture, the influence of a ping-pong mechanism has been analyzed. Based on these results, the use of multi-core architecture for parallel processing to achieve significantly better performance of the target class of embedded systems is justified.","PeriodicalId":314029,"journal":{"name":"2013 3rd Eastern European Regional Conference on the Engineering of Computer Based Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 3rd Eastern European Regional Conference on the Engineering of Computer Based Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECBS-EERC.2013.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Parallel processing and multi-core architectures are being accepted in all segments of industry caused by the need for better performance in real-time and non-real-time systems. This paper presents an implementation of parallel processing system for multichannel video on a multicore architecture using different building blocks. Black Screen Detection algorithm is used for digital image processing. The implemented system was validated by means of a particular case study. Experimentally obtained results are related to analysis of the system scalability, in terms of processing speed up as a function of the number of cores that participate in the processing. Also, due to the specific memory architecture, the influence of a ping-pong mechanism has been analyzed. Based on these results, the use of multi-core architecture for parallel processing to achieve significantly better performance of the target class of embedded systems is justified.