{"title":"内存多维信号的并行映射算法","authors":"F. Balasa, I. Luican, Hongwei Zhu","doi":"10.1109/LASCAS.2016.7451068","DOIUrl":null,"url":null,"abstract":"The signal processing algorithms are typically described in a high-level programming language. In data-dominated applications, particularly in the multimedia and telecommunication domains, the code of these behavioral specifications is organized in sequences of loop nests; the main data structures are multidimensional arrays. This paper proposes a memory management algorithm for mapping multidimensional signals (arrays) to the physical memories. The proposed technique is well-suited to a dynamic multithreading implementation, which makes it computationally efficient. Another advantage is that it can be applied to multi-layer memory hierarchies, which makes it particularly useful in embedded systems design.","PeriodicalId":129875,"journal":{"name":"2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parallel algorithm mapping to memory multidimensional signals\",\"authors\":\"F. Balasa, I. Luican, Hongwei Zhu\",\"doi\":\"10.1109/LASCAS.2016.7451068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The signal processing algorithms are typically described in a high-level programming language. In data-dominated applications, particularly in the multimedia and telecommunication domains, the code of these behavioral specifications is organized in sequences of loop nests; the main data structures are multidimensional arrays. This paper proposes a memory management algorithm for mapping multidimensional signals (arrays) to the physical memories. The proposed technique is well-suited to a dynamic multithreading implementation, which makes it computationally efficient. Another advantage is that it can be applied to multi-layer memory hierarchies, which makes it particularly useful in embedded systems design.\",\"PeriodicalId\":129875,\"journal\":{\"name\":\"2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LASCAS.2016.7451068\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LASCAS.2016.7451068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel algorithm mapping to memory multidimensional signals
The signal processing algorithms are typically described in a high-level programming language. In data-dominated applications, particularly in the multimedia and telecommunication domains, the code of these behavioral specifications is organized in sequences of loop nests; the main data structures are multidimensional arrays. This paper proposes a memory management algorithm for mapping multidimensional signals (arrays) to the physical memories. The proposed technique is well-suited to a dynamic multithreading implementation, which makes it computationally efficient. Another advantage is that it can be applied to multi-layer memory hierarchies, which makes it particularly useful in embedded systems design.