{"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}
引用次数: 0
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.