P. Lippens, J. V. Meerbergen, A. V. D. Werf, W. Verhaegh, B. McSweeney, J. Huisken, O. McArdle
{"title":"PHIDEO: a silicon compiler for high speed algorithms","authors":"P. Lippens, J. V. Meerbergen, A. V. D. Werf, W. Verhaegh, B. McSweeney, J. Huisken, O. McArdle","doi":"10.1109/EDAC.1991.206442","DOIUrl":null,"url":null,"abstract":"PHIDEO is a silicon compiler targeted at the design of high performance real time systems with high sampling frequencies such as HDTV. It supports the complete design trajectory starting from a high level specification all the way down to layout. New techniques are used to perform global optimisations across loop boundaries in hierarchical flow graphs. The compiler is based on a new target architectural model. Apart from the datapaths special attention is paid to memory optimisation. The new techniques are demonstrated using a progressive scan conversion algorithm.<<ETX>>","PeriodicalId":425087,"journal":{"name":"Proceedings of the European Conference on Design Automation.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"141","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the European Conference on Design Automation.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDAC.1991.206442","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 141
Abstract
PHIDEO is a silicon compiler targeted at the design of high performance real time systems with high sampling frequencies such as HDTV. It supports the complete design trajectory starting from a high level specification all the way down to layout. New techniques are used to perform global optimisations across loop boundaries in hierarchical flow graphs. The compiler is based on a new target architectural model. Apart from the datapaths special attention is paid to memory optimisation. The new techniques are demonstrated using a progressive scan conversion algorithm.<>