L. Benini, L. Macchiarulo, A. Macii, E. Macii, M. Poncino
{"title":"From architecture to layout: partitioned memory synthesis for embedded systems-on-chip","authors":"L. Benini, L. Macchiarulo, A. Macii, E. Macii, M. Poncino","doi":"10.1145/378239.379066","DOIUrl":null,"url":null,"abstract":"We propose an integrated front-end/back-end flow for the automatic generation of a multi-bank memory architecture for embedded systems. The flow is based on an algorithm for the automatic partitioning of on-chip SRAM. Starting from the dynamic execution profile of an embedded application running on a given processor core, we synthesize a multi-banked SRAM architecture optimally fitted to the execution profile. The partitioning algorithm is integrated with the physical design phase into a complete flow that allows the back-annotation of layout information to drive the partitioning process. Results, collected on a set of embedded applications for the ARM processor, have shown average energy savings around 34%.","PeriodicalId":154316,"journal":{"name":"Proceedings of the 38th Design Automation Conference (IEEE Cat. No.01CH37232)","volume":"97 18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 38th Design Automation Conference (IEEE Cat. No.01CH37232)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/378239.379066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
We propose an integrated front-end/back-end flow for the automatic generation of a multi-bank memory architecture for embedded systems. The flow is based on an algorithm for the automatic partitioning of on-chip SRAM. Starting from the dynamic execution profile of an embedded application running on a given processor core, we synthesize a multi-banked SRAM architecture optimally fitted to the execution profile. The partitioning algorithm is integrated with the physical design phase into a complete flow that allows the back-annotation of layout information to drive the partitioning process. Results, collected on a set of embedded applications for the ARM processor, have shown average energy savings around 34%.