{"title":"关于微码位最小化的近似算法","authors":"S. Ravi, Dechang Gu","doi":"10.1109/MICRO.1988.639257","DOIUrl":null,"url":null,"abstract":"The bit (or width) minimization problem for microprograms is known to be NP-complete. Motivated by its practical importance, we address the question of obtaining near-optimal solutions. Two main results are presented. First, we establish a tight bound on the quality of solutions produced by algorithms which minimize the number of compatibility classes. Second, we show that the bit minimization problem has a polynomial time relative approximation algorithm only if the vertex coloring problem for graphs with n nodes can be approximated to within a factor of O(log n ) in polynomial time.","PeriodicalId":378625,"journal":{"name":"[1988] Proceedings of the 21st Annual Workshop on Microprogramming and Microarchitecture - MICRO '21","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"On Approximation Algorithms For Microcode Bit Minimizationt\",\"authors\":\"S. Ravi, Dechang Gu\",\"doi\":\"10.1109/MICRO.1988.639257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The bit (or width) minimization problem for microprograms is known to be NP-complete. Motivated by its practical importance, we address the question of obtaining near-optimal solutions. Two main results are presented. First, we establish a tight bound on the quality of solutions produced by algorithms which minimize the number of compatibility classes. Second, we show that the bit minimization problem has a polynomial time relative approximation algorithm only if the vertex coloring problem for graphs with n nodes can be approximated to within a factor of O(log n ) in polynomial time.\",\"PeriodicalId\":378625,\"journal\":{\"name\":\"[1988] Proceedings of the 21st Annual Workshop on Microprogramming and Microarchitecture - MICRO '21\",\"volume\":\"95 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988] Proceedings of the 21st Annual Workshop on Microprogramming and Microarchitecture - MICRO '21\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MICRO.1988.639257\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988] Proceedings of the 21st Annual Workshop on Microprogramming and Microarchitecture - MICRO '21","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICRO.1988.639257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On Approximation Algorithms For Microcode Bit Minimizationt
The bit (or width) minimization problem for microprograms is known to be NP-complete. Motivated by its practical importance, we address the question of obtaining near-optimal solutions. Two main results are presented. First, we establish a tight bound on the quality of solutions produced by algorithms which minimize the number of compatibility classes. Second, we show that the bit minimization problem has a polynomial time relative approximation algorithm only if the vertex coloring problem for graphs with n nodes can be approximated to within a factor of O(log n ) in polynomial time.