{"title":"跟踪处理器中的指令预处理","authors":"Quinn Jacobson, James E. Smith","doi":"10.1109/HPCA.1999.744347","DOIUrl":null,"url":null,"abstract":"In trace processors, a sequential program is partitioned at run time into \"traces\". A trace is an encapsulation of a dynamic sequence of instructions. A processor that uses traces as the unit of sequencing and execution achieves high instruction fetch rates and can support very wide-issue execution engines. We propose a new class of hardware optimizations that transform the instructions within traces to increase the performance of trace processors. Traces are \"pre-processed\" to optimize the instructions for execution together. We propose three specific optimizations: instruction scheduling, constant propagation, and instruction collapsing. Together, these optimizations offer substantial performance benefit, increasing performance by up to 24%.","PeriodicalId":287867,"journal":{"name":"Proceedings Fifth International Symposium on High-Performance Computer Architecture","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"62","resultStr":"{\"title\":\"Instruction pre-processing in trace processors\",\"authors\":\"Quinn Jacobson, James E. Smith\",\"doi\":\"10.1109/HPCA.1999.744347\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In trace processors, a sequential program is partitioned at run time into \\\"traces\\\". A trace is an encapsulation of a dynamic sequence of instructions. A processor that uses traces as the unit of sequencing and execution achieves high instruction fetch rates and can support very wide-issue execution engines. We propose a new class of hardware optimizations that transform the instructions within traces to increase the performance of trace processors. Traces are \\\"pre-processed\\\" to optimize the instructions for execution together. We propose three specific optimizations: instruction scheduling, constant propagation, and instruction collapsing. Together, these optimizations offer substantial performance benefit, increasing performance by up to 24%.\",\"PeriodicalId\":287867,\"journal\":{\"name\":\"Proceedings Fifth International Symposium on High-Performance Computer Architecture\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"62\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Fifth International Symposium on High-Performance Computer Architecture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCA.1999.744347\",\"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 Fifth International Symposium on High-Performance Computer Architecture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCA.1999.744347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In trace processors, a sequential program is partitioned at run time into "traces". A trace is an encapsulation of a dynamic sequence of instructions. A processor that uses traces as the unit of sequencing and execution achieves high instruction fetch rates and can support very wide-issue execution engines. We propose a new class of hardware optimizations that transform the instructions within traces to increase the performance of trace processors. Traces are "pre-processed" to optimize the instructions for execution together. We propose three specific optimizations: instruction scheduling, constant propagation, and instruction collapsing. Together, these optimizations offer substantial performance benefit, increasing performance by up to 24%.