{"title":"BADGR: A practical GHR implementation for TAGE branch predictors","authors":"David J. Schlais, Mikko H. Lipasti","doi":"10.1109/ICCD.2016.7753338","DOIUrl":null,"url":null,"abstract":"In this work, we explore global history register (GHR) implementations for Tagged Geometric length (TAGE) style branch predictors with speculative updates. We break down the requirements to both update and recover TAGE predictors' history registers during normal operation and after mispeculation, discussing where various designs exhibit large checkpoint and/or operation overheads. To reduce these inefficiencies, we introduce BADGR, a novel GHR design for TAGE predictors that lowers power consumption and chip area over naive checkpointing techniques by 90% and 85%, respectively.","PeriodicalId":297899,"journal":{"name":"2016 IEEE 34th International Conference on Computer Design (ICCD)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 34th International Conference on Computer Design (ICCD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCD.2016.7753338","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this work, we explore global history register (GHR) implementations for Tagged Geometric length (TAGE) style branch predictors with speculative updates. We break down the requirements to both update and recover TAGE predictors' history registers during normal operation and after mispeculation, discussing where various designs exhibit large checkpoint and/or operation overheads. To reduce these inefficiencies, we introduce BADGR, a novel GHR design for TAGE predictors that lowers power consumption and chip area over naive checkpointing techniques by 90% and 85%, respectively.
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