{"title":"硬件软件协同设计的系统级内存优化","authors":"K. Danckaert, F. Catthoor, H. Man","doi":"10.1109/HSC.1997.584579","DOIUrl":null,"url":null,"abstract":"Application studies in the areas of image and video processing systems indicate that between 50 and 80% of the area cost in (application-specific) architectures for real-time multi-dimensional signal processing (RMSP) is due to data storage and transfer of array signals. This is true for both singleand multi-processor realizations, both customized and (embedded) programmable targets. This paper has two main contributions. First, to reduce this dominant cost, we propose to address the system-level storage organization for the multi-dimensional signals as a first step in the overall methodology to map these applications, before the hardware/software partitioning decision. Secondly, we demonstrate the usefulness of this novel approach based on a realistic test vehicle, namely a quad-tree based image coding application.","PeriodicalId":104833,"journal":{"name":"Proceedings of 5th International Workshop on Hardware/Software Co Design. Codes/CASHE '97","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"System level memory optimization for hardware-software co-design\",\"authors\":\"K. Danckaert, F. Catthoor, H. Man\",\"doi\":\"10.1109/HSC.1997.584579\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Application studies in the areas of image and video processing systems indicate that between 50 and 80% of the area cost in (application-specific) architectures for real-time multi-dimensional signal processing (RMSP) is due to data storage and transfer of array signals. This is true for both singleand multi-processor realizations, both customized and (embedded) programmable targets. This paper has two main contributions. First, to reduce this dominant cost, we propose to address the system-level storage organization for the multi-dimensional signals as a first step in the overall methodology to map these applications, before the hardware/software partitioning decision. Secondly, we demonstrate the usefulness of this novel approach based on a realistic test vehicle, namely a quad-tree based image coding application.\",\"PeriodicalId\":104833,\"journal\":{\"name\":\"Proceedings of 5th International Workshop on Hardware/Software Co Design. Codes/CASHE '97\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 5th International Workshop on Hardware/Software Co Design. Codes/CASHE '97\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HSC.1997.584579\",\"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 5th International Workshop on Hardware/Software Co Design. Codes/CASHE '97","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HSC.1997.584579","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
System level memory optimization for hardware-software co-design
Application studies in the areas of image and video processing systems indicate that between 50 and 80% of the area cost in (application-specific) architectures for real-time multi-dimensional signal processing (RMSP) is due to data storage and transfer of array signals. This is true for both singleand multi-processor realizations, both customized and (embedded) programmable targets. This paper has two main contributions. First, to reduce this dominant cost, we propose to address the system-level storage organization for the multi-dimensional signals as a first step in the overall methodology to map these applications, before the hardware/software partitioning decision. Secondly, we demonstrate the usefulness of this novel approach based on a realistic test vehicle, namely a quad-tree based image coding application.