{"title":"纳米指令集计算机的解耦负载","authors":"Ziqiang Huang, Andrew D. Hilton, Benjamin C. Lee","doi":"10.1145/3007787.3001181","DOIUrl":null,"url":null,"abstract":"We propose an ISA extension that decouples the data access and register write operations in a load instruction. We describe system and hardware support for decoupled loads. Furthermore, we show how compilers can generate better static instruction schedules by hoisting a decoupled load's data access above may-alias stores and branches. We find that decoupled loads improve performance with geometric mean speedups of 8.4%.","PeriodicalId":6634,"journal":{"name":"2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)","volume":"41 1","pages":"406-417"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Decoupling Loads for Nano-Instruction Set Computers\",\"authors\":\"Ziqiang Huang, Andrew D. Hilton, Benjamin C. Lee\",\"doi\":\"10.1145/3007787.3001181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose an ISA extension that decouples the data access and register write operations in a load instruction. We describe system and hardware support for decoupled loads. Furthermore, we show how compilers can generate better static instruction schedules by hoisting a decoupled load's data access above may-alias stores and branches. We find that decoupled loads improve performance with geometric mean speedups of 8.4%.\",\"PeriodicalId\":6634,\"journal\":{\"name\":\"2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)\",\"volume\":\"41 1\",\"pages\":\"406-417\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3007787.3001181\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3007787.3001181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decoupling Loads for Nano-Instruction Set Computers
We propose an ISA extension that decouples the data access and register write operations in a load instruction. We describe system and hardware support for decoupled loads. Furthermore, we show how compilers can generate better static instruction schedules by hoisting a decoupled load's data access above may-alias stores and branches. We find that decoupled loads improve performance with geometric mean speedups of 8.4%.