Shounak Dhar, M. Iyer, Saurabh N. Adya, L. Singhal, N. Rubanov, D. Pan
{"title":"An Effective Timing-Driven Detailed Placement Algorithm for FPGAs","authors":"Shounak Dhar, M. Iyer, Saurabh N. Adya, L. Singhal, N. Rubanov, D. Pan","doi":"10.1145/3036669.3036682","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new timing-driven detailed placement technique for FPGAs based on optimizing critical paths. Our approach extends well beyond the previously known critical path optimization approaches and explores a significantly larger solution space. It is also complementary to single-net based timing optimization approaches. The new algorithm models the detailed placement improvement problem as a shortest path optimization problem, and optimizes the placement of all elements in the entire timing critical path simultaneously, while minimizing the costs of adjusting the placement of adjacent non-critical elements. Experimental results on industrial circuits using a modern FPGA device show an average placement clock frequency improvement of 4.5%.","PeriodicalId":269197,"journal":{"name":"Proceedings of the 2017 ACM on International Symposium on Physical Design","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2017 ACM on International Symposium on Physical Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3036669.3036682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
In this paper, we propose a new timing-driven detailed placement technique for FPGAs based on optimizing critical paths. Our approach extends well beyond the previously known critical path optimization approaches and explores a significantly larger solution space. It is also complementary to single-net based timing optimization approaches. The new algorithm models the detailed placement improvement problem as a shortest path optimization problem, and optimizes the placement of all elements in the entire timing critical path simultaneously, while minimizing the costs of adjusting the placement of adjacent non-critical elements. Experimental results on industrial circuits using a modern FPGA device show an average placement clock frequency improvement of 4.5%.