{"title":"H.261视频编码算法在IBM SP2(R)多处理器系统上的并行化","authors":"N. Yung, K. Leung","doi":"10.1109/ICAPP.1997.651523","DOIUrl":null,"url":null,"abstract":"In this paper, the parallelization of the H.261 video coding algorithm on the IBM SP2 multiprocessor system is described. Based on domain decomposition as a framework, data partitioning, data dependencies and communication issues are carefully assessed. From these, two parallel algorithms were developed. The first one maximizes processor utilization and the second one minimizes communications. Our analysis shows that the first algorithm exhibits poor scalability and high communication overhead; and the second algorithm exhibits good scalability and low communication overhead. A best median speed up of 13.72 or 11 frames/sec was achieved on 24 processors.","PeriodicalId":325978,"journal":{"name":"Proceedings of 3rd International Conference on Algorithms and Architectures for Parallel Processing","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Parallelization of the H.261 video coding algorithm on the IBM SP2(R) multiprocessor system\",\"authors\":\"N. Yung, K. Leung\",\"doi\":\"10.1109/ICAPP.1997.651523\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the parallelization of the H.261 video coding algorithm on the IBM SP2 multiprocessor system is described. Based on domain decomposition as a framework, data partitioning, data dependencies and communication issues are carefully assessed. From these, two parallel algorithms were developed. The first one maximizes processor utilization and the second one minimizes communications. Our analysis shows that the first algorithm exhibits poor scalability and high communication overhead; and the second algorithm exhibits good scalability and low communication overhead. A best median speed up of 13.72 or 11 frames/sec was achieved on 24 processors.\",\"PeriodicalId\":325978,\"journal\":{\"name\":\"Proceedings of 3rd International Conference on Algorithms and Architectures for Parallel Processing\",\"volume\":\"140 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 3rd International Conference on Algorithms and Architectures for Parallel Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAPP.1997.651523\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 3rd International Conference on Algorithms and Architectures for Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAPP.1997.651523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallelization of the H.261 video coding algorithm on the IBM SP2(R) multiprocessor system
In this paper, the parallelization of the H.261 video coding algorithm on the IBM SP2 multiprocessor system is described. Based on domain decomposition as a framework, data partitioning, data dependencies and communication issues are carefully assessed. From these, two parallel algorithms were developed. The first one maximizes processor utilization and the second one minimizes communications. Our analysis shows that the first algorithm exhibits poor scalability and high communication overhead; and the second algorithm exhibits good scalability and low communication overhead. A best median speed up of 13.72 or 11 frames/sec was achieved on 24 processors.