{"title":"修改硬件和软件功能分区的最小切割","authors":"F. Vahid","doi":"10.1109/HSC.1997.584577","DOIUrl":null,"url":null,"abstract":"The Kernighan/Lin heuristic, also known as min-cut, has been extended very successfully for circuit partitioning over several decades. Those extensions customized the heuristic and its associated data structure to rapidly compute the minimum-cut metric required during circuit partitioning thus, those extensions are not applicable to problems requiring other metrics. The author extends the heuristic for functional partitioning in a manner applicable to the codesign problem of hardware/software partitioning as well as to hardware/hardware partitioning. The extension customizes the heuristic and data structure to rapidly compute execution-time and communication metrics, crucial to hardware and software partitioning, and leads to near-linear time-complexity and excellent results. The experiments demonstrate extremely fast execution times (just a few seconds) with results matched only by the much slower simulated annealing heuristic, meaning that the extended Kernighan/Lin heuristic will likely prove hard to beat for hardware and software functional partitioning.","PeriodicalId":104833,"journal":{"name":"Proceedings of 5th International Workshop on Hardware/Software Co Design. Codes/CASHE '97","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":"{\"title\":\"Modifying min-cut for hardware and software functional partitioning\",\"authors\":\"F. Vahid\",\"doi\":\"10.1109/HSC.1997.584577\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Kernighan/Lin heuristic, also known as min-cut, has been extended very successfully for circuit partitioning over several decades. Those extensions customized the heuristic and its associated data structure to rapidly compute the minimum-cut metric required during circuit partitioning thus, those extensions are not applicable to problems requiring other metrics. The author extends the heuristic for functional partitioning in a manner applicable to the codesign problem of hardware/software partitioning as well as to hardware/hardware partitioning. The extension customizes the heuristic and data structure to rapidly compute execution-time and communication metrics, crucial to hardware and software partitioning, and leads to near-linear time-complexity and excellent results. The experiments demonstrate extremely fast execution times (just a few seconds) with results matched only by the much slower simulated annealing heuristic, meaning that the extended Kernighan/Lin heuristic will likely prove hard to beat for hardware and software functional partitioning.\",\"PeriodicalId\":104833,\"journal\":{\"name\":\"Proceedings of 5th International Workshop on Hardware/Software Co Design. Codes/CASHE '97\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"43\",\"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.1997.584577\",\"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.1997.584577","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modifying min-cut for hardware and software functional partitioning
The Kernighan/Lin heuristic, also known as min-cut, has been extended very successfully for circuit partitioning over several decades. Those extensions customized the heuristic and its associated data structure to rapidly compute the minimum-cut metric required during circuit partitioning thus, those extensions are not applicable to problems requiring other metrics. The author extends the heuristic for functional partitioning in a manner applicable to the codesign problem of hardware/software partitioning as well as to hardware/hardware partitioning. The extension customizes the heuristic and data structure to rapidly compute execution-time and communication metrics, crucial to hardware and software partitioning, and leads to near-linear time-complexity and excellent results. The experiments demonstrate extremely fast execution times (just a few seconds) with results matched only by the much slower simulated annealing heuristic, meaning that the extended Kernighan/Lin heuristic will likely prove hard to beat for hardware and software functional partitioning.