{"title":"A new scheduling algorithm for synthesizing the control blocks of control-dominated circuits","authors":"Shih-Hsu Huang , Yu-Chin Hsu , Yen-Jen Oyang","doi":"10.1016/0165-6074(95)00016-H","DOIUrl":null,"url":null,"abstract":"<div><p>This paper describes a new scheduling algorithm for automatic synthesis of the control blocks of control-dominated circuits. The proposed scheduling algorithm is distinctive in its approach to partition a control/data flow graph (CDFG) into an equivalent state transition graph. It works on the CDFG to exploit operation relocation, chaining, duplication, and unification. The optimization goal is to schedule each execution path as fast as possible. Benchmark data shows that this approach achieved better results over the previous ones in terms of the speedup of the circuit and the number of states and transitions.</p></div>","PeriodicalId":100927,"journal":{"name":"Microprocessing and Microprogramming","volume":"41 7","pages":"Pages 501-519"},"PeriodicalIF":0.0000,"publicationDate":"1995-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0165-6074(95)00016-H","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microprocessing and Microprogramming","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/016560749500016H","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper describes a new scheduling algorithm for automatic synthesis of the control blocks of control-dominated circuits. The proposed scheduling algorithm is distinctive in its approach to partition a control/data flow graph (CDFG) into an equivalent state transition graph. It works on the CDFG to exploit operation relocation, chaining, duplication, and unification. The optimization goal is to schedule each execution path as fast as possible. Benchmark data shows that this approach achieved better results over the previous ones in terms of the speedup of the circuit and the number of states and transitions.