{"title":"用于嵌入式系统代码压缩的多级字典","authors":"W. R. A. Dias, E. Moreno","doi":"10.1109/DCC.2013.69","DOIUrl":null,"url":null,"abstract":"This paper presents an innovative and efficient approach to code compression. Our method reduces code size by up to 32.6% and 31.9% (including all extra costs) respectively, for ARM and MIPS processor, and presents an improvement of almost 7% over the traditional Huffman method. We performed simulations and analyzes, using the applications from benchmark MiBench. In spite of these experiments, our method is orthogonal to approaches that take into account the particularities of a given instruction set architecture, becoming an independent method for any specific architecture.","PeriodicalId":388717,"journal":{"name":"2013 Data Compression Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multi-Level Dictionary Used in Code Compression for Embedded Systems\",\"authors\":\"W. R. A. Dias, E. Moreno\",\"doi\":\"10.1109/DCC.2013.69\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an innovative and efficient approach to code compression. Our method reduces code size by up to 32.6% and 31.9% (including all extra costs) respectively, for ARM and MIPS processor, and presents an improvement of almost 7% over the traditional Huffman method. We performed simulations and analyzes, using the applications from benchmark MiBench. In spite of these experiments, our method is orthogonal to approaches that take into account the particularities of a given instruction set architecture, becoming an independent method for any specific architecture.\",\"PeriodicalId\":388717,\"journal\":{\"name\":\"2013 Data Compression Conference\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.2013.69\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2013.69","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Level Dictionary Used in Code Compression for Embedded Systems
This paper presents an innovative and efficient approach to code compression. Our method reduces code size by up to 32.6% and 31.9% (including all extra costs) respectively, for ARM and MIPS processor, and presents an improvement of almost 7% over the traditional Huffman method. We performed simulations and analyzes, using the applications from benchmark MiBench. In spite of these experiments, our method is orthogonal to approaches that take into account the particularities of a given instruction set architecture, becoming an independent method for any specific architecture.