{"title":"利用大节点数据流对传统串行程序进行并行处理","authors":"Siwei Luo, Anfeng Huang, Yaping Huang","doi":"10.1109/APDC.1997.574062","DOIUrl":null,"url":null,"abstract":"This paper introduces an algorithm that can generate huge node data flow by compiling existing programs. The purpose of this algorithm is to improve the speed of parallel processing and utilize the large amount of existing program resources. In addition, this idea of huge node data flow algorithm can also be used in distributed processing and multi-thread processing.","PeriodicalId":413925,"journal":{"name":"Proceedings. Advances in Parallel and Distributed Computing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Parallel processing on traditional serial programs by huge node data flow\",\"authors\":\"Siwei Luo, Anfeng Huang, Yaping Huang\",\"doi\":\"10.1109/APDC.1997.574062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces an algorithm that can generate huge node data flow by compiling existing programs. The purpose of this algorithm is to improve the speed of parallel processing and utilize the large amount of existing program resources. In addition, this idea of huge node data flow algorithm can also be used in distributed processing and multi-thread processing.\",\"PeriodicalId\":413925,\"journal\":{\"name\":\"Proceedings. Advances in Parallel and Distributed Computing\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Advances in Parallel and Distributed Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APDC.1997.574062\",\"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. Advances in Parallel and Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APDC.1997.574062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel processing on traditional serial programs by huge node data flow
This paper introduces an algorithm that can generate huge node data flow by compiling existing programs. The purpose of this algorithm is to improve the speed of parallel processing and utilize the large amount of existing program resources. In addition, this idea of huge node data flow algorithm can also be used in distributed processing and multi-thread processing.
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