{"title":"基于重构和矢量化的非矩形多维嵌套环的高级综合","authors":"Sahand Salamat, M. Azarbad, B. Alizadeh","doi":"10.1109/ICRC.2018.8638593","DOIUrl":null,"url":null,"abstract":"High-Ievel synthesis accelerates the process of design space exploration in which various transformations and optimizations can be applied to the high-level description. In this paper, a new method has been proposed to improve the high-level synthesis process for non-rectangular multi-dimensional nested loops using reshaping and vectorization techniques. As the high-level descriptions with non-rectangular iteration spaces do not lend themselves well to efficient high-level synthesis process, our method proposes a reshaping technique to convert nonrectangular iteration spaces with certain inter-iteration dependencies to the rectangular ones. Furthermore, the proposed method suggests a vectorization technique to let the different iterations be executed simultaneously in a manner which does not violate inter-iteration dependencies. Finally, this paper combines the proposed reshaping and vectorization techniques to a hybrid method which supports both 2D and 3D perfect/imperfect nested loops and can be extended for the nested loops of dimensions more than three. According to the experimental results, the proposed hybrid method shows average speed-up of 51.9%, 50.1%, and 15.9% in comparison with the state-of-the-art methods for the pipelined perfect, the pipelined imperfect, and the pipelined 3D nested loops, respectively.","PeriodicalId":169413,"journal":{"name":"2018 IEEE International Conference on Rebooting Computing (ICRC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"High-Level Synthesis of Non-Rectangular Multi-Dimensional Nested Loops Using Reshaping and Vectorization\",\"authors\":\"Sahand Salamat, M. Azarbad, B. Alizadeh\",\"doi\":\"10.1109/ICRC.2018.8638593\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High-Ievel synthesis accelerates the process of design space exploration in which various transformations and optimizations can be applied to the high-level description. In this paper, a new method has been proposed to improve the high-level synthesis process for non-rectangular multi-dimensional nested loops using reshaping and vectorization techniques. As the high-level descriptions with non-rectangular iteration spaces do not lend themselves well to efficient high-level synthesis process, our method proposes a reshaping technique to convert nonrectangular iteration spaces with certain inter-iteration dependencies to the rectangular ones. Furthermore, the proposed method suggests a vectorization technique to let the different iterations be executed simultaneously in a manner which does not violate inter-iteration dependencies. Finally, this paper combines the proposed reshaping and vectorization techniques to a hybrid method which supports both 2D and 3D perfect/imperfect nested loops and can be extended for the nested loops of dimensions more than three. According to the experimental results, the proposed hybrid method shows average speed-up of 51.9%, 50.1%, and 15.9% in comparison with the state-of-the-art methods for the pipelined perfect, the pipelined imperfect, and the pipelined 3D nested loops, respectively.\",\"PeriodicalId\":169413,\"journal\":{\"name\":\"2018 IEEE International Conference on Rebooting Computing (ICRC)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Rebooting Computing (ICRC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRC.2018.8638593\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Rebooting Computing (ICRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRC.2018.8638593","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High-Level Synthesis of Non-Rectangular Multi-Dimensional Nested Loops Using Reshaping and Vectorization
High-Ievel synthesis accelerates the process of design space exploration in which various transformations and optimizations can be applied to the high-level description. In this paper, a new method has been proposed to improve the high-level synthesis process for non-rectangular multi-dimensional nested loops using reshaping and vectorization techniques. As the high-level descriptions with non-rectangular iteration spaces do not lend themselves well to efficient high-level synthesis process, our method proposes a reshaping technique to convert nonrectangular iteration spaces with certain inter-iteration dependencies to the rectangular ones. Furthermore, the proposed method suggests a vectorization technique to let the different iterations be executed simultaneously in a manner which does not violate inter-iteration dependencies. Finally, this paper combines the proposed reshaping and vectorization techniques to a hybrid method which supports both 2D and 3D perfect/imperfect nested loops and can be extended for the nested loops of dimensions more than three. According to the experimental results, the proposed hybrid method shows average speed-up of 51.9%, 50.1%, and 15.9% in comparison with the state-of-the-art methods for the pipelined perfect, the pipelined imperfect, and the pipelined 3D nested loops, respectively.