{"title":"基于多核架构的多通道视频并行处理","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":"{\"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}","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}
Parallel Processing of Multichannel Video Based on Multicore Architecture
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.