{"title":"一种并行的面向对象语言,用于任务和数据并行编程","authors":"H. Essafi, M. Pic, M. Viala, L. Nicolas","doi":"10.1109/CAMP.1995.521043","DOIUrl":null,"url":null,"abstract":"Introduces T++, a parallel language with object-oriented features conceived to easily develop algorithms on multi-SIMD parallel computers. We propose a new semantics to express task parallelism and data parallelism in the same way. We describe the advantages of an object-oriented approach for this semantics. Finally, we explain how to implement it efficiently on a proprietary multi-SIMD architecture: the SYMPHONIE concept, an architecture that is well-suited for image processing.","PeriodicalId":277209,"journal":{"name":"Proceedings of Conference on Computer Architectures for Machine Perception","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"T++: a parallel object oriented language for a task and data parallel programming\",\"authors\":\"H. Essafi, M. Pic, M. Viala, L. Nicolas\",\"doi\":\"10.1109/CAMP.1995.521043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduces T++, a parallel language with object-oriented features conceived to easily develop algorithms on multi-SIMD parallel computers. We propose a new semantics to express task parallelism and data parallelism in the same way. We describe the advantages of an object-oriented approach for this semantics. Finally, we explain how to implement it efficiently on a proprietary multi-SIMD architecture: the SYMPHONIE concept, an architecture that is well-suited for image processing.\",\"PeriodicalId\":277209,\"journal\":{\"name\":\"Proceedings of Conference on Computer Architectures for Machine Perception\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Conference on Computer Architectures for Machine Perception\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAMP.1995.521043\",\"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 Conference on Computer Architectures for Machine Perception","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMP.1995.521043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
T++: a parallel object oriented language for a task and data parallel programming
Introduces T++, a parallel language with object-oriented features conceived to easily develop algorithms on multi-SIMD parallel computers. We propose a new semantics to express task parallelism and data parallelism in the same way. We describe the advantages of an object-oriented approach for this semantics. Finally, we explain how to implement it efficiently on a proprietary multi-SIMD architecture: the SYMPHONIE concept, an architecture that is well-suited for image processing.