{"title":"微码位最小化的近似算法","authors":"S. Ravi, Dechang Gu","doi":"10.1145/62504.62538","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 &Ogr;(logn) in polynomial time.","PeriodicalId":169837,"journal":{"name":"MICRO 21","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On approximation algorithms for microcode bit minimization\",\"authors\":\"S. Ravi, Dechang Gu\",\"doi\":\"10.1145/62504.62538\",\"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 &Ogr;(logn) in polynomial time.\",\"PeriodicalId\":169837,\"journal\":{\"name\":\"MICRO 21\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MICRO 21\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/62504.62538\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MICRO 21","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/62504.62538","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 minimization
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 &Ogr;(logn) in polynomial time.