{"title":"并行图像分析的编程环境","authors":"B. Ducourthial, A. Mérigot, Nicolas Sicard","doi":"10.1109/CAMP.2000.875987","DOIUrl":null,"url":null,"abstract":"In this paper we present the programming environment Anet for image analysis, that aims to bridge the gap between programmability requirements and parallel efficiency. It is based on the graph based associative nets computing model, and allows irregular data manipulation. As it is intrinsically a parallel model, parallel execution can be quite naturally considered, and as the number of primitives is small, effective parallelization requires an initial limited effort and can be reused by a large set of programs.","PeriodicalId":282003,"journal":{"name":"Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Anet: a programming environment for parallel image analysis\",\"authors\":\"B. Ducourthial, A. Mérigot, Nicolas Sicard\",\"doi\":\"10.1109/CAMP.2000.875987\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present the programming environment Anet for image analysis, that aims to bridge the gap between programmability requirements and parallel efficiency. It is based on the graph based associative nets computing model, and allows irregular data manipulation. As it is intrinsically a parallel model, parallel execution can be quite naturally considered, and as the number of primitives is small, effective parallelization requires an initial limited effort and can be reused by a large set of programs.\",\"PeriodicalId\":282003,\"journal\":{\"name\":\"Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAMP.2000.875987\",\"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 Fifth IEEE International Workshop on Computer Architectures for Machine Perception","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMP.2000.875987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Anet: a programming environment for parallel image analysis
In this paper we present the programming environment Anet for image analysis, that aims to bridge the gap between programmability requirements and parallel efficiency. It is based on the graph based associative nets computing model, and allows irregular data manipulation. As it is intrinsically a parallel model, parallel execution can be quite naturally considered, and as the number of primitives is small, effective parallelization requires an initial limited effort and can be reused by a large set of programs.
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