{"title":"具有自适应寄存器文件架构的特定于应用程序的计算","authors":"R. Sangireddy, Arun Kumar Somani","doi":"10.1109/ASAP.2003.1212842","DOIUrl":null,"url":null,"abstract":"The demand for higher computing power to effectively execute compute-intensive functions and thus more on-chip computing resources is ever increasing. On the other hand, applications that demand larger on-chip memory bandwidth are continuously emerging. We propose adaptive register file computing (ARC) unit, a novel on-chip processing element that leverages application-specific processing capabilities. The ARC unit supplements a conventional register file to provide large memory bandwidth, or acts as a configurable computing unit to provide higher on-chip computing capacity, depending on the requirement of a specific application. When an out-of-order 8-wide issue superscalar processor is supplemented with the ARC unit to process matrix multiplication, a compute-intensive core function in most multimedia applications, results show a performance increase of up to 12%. Similarly, a 9% performance enhancement is seen when the matrix multiplication is performed in an out-of-order 4-wide issue superscalar processor supplemented with the ARC unit. We also discuss the microarchitecture level details for the implementation of the ARC unit.","PeriodicalId":261592,"journal":{"name":"Proceedings IEEE International Conference on Application-Specific Systems, Architectures, and Processors. ASAP 2003","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application-specific computing with adaptive register file architectures\",\"authors\":\"R. Sangireddy, Arun Kumar Somani\",\"doi\":\"10.1109/ASAP.2003.1212842\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The demand for higher computing power to effectively execute compute-intensive functions and thus more on-chip computing resources is ever increasing. On the other hand, applications that demand larger on-chip memory bandwidth are continuously emerging. We propose adaptive register file computing (ARC) unit, a novel on-chip processing element that leverages application-specific processing capabilities. The ARC unit supplements a conventional register file to provide large memory bandwidth, or acts as a configurable computing unit to provide higher on-chip computing capacity, depending on the requirement of a specific application. When an out-of-order 8-wide issue superscalar processor is supplemented with the ARC unit to process matrix multiplication, a compute-intensive core function in most multimedia applications, results show a performance increase of up to 12%. Similarly, a 9% performance enhancement is seen when the matrix multiplication is performed in an out-of-order 4-wide issue superscalar processor supplemented with the ARC unit. We also discuss the microarchitecture level details for the implementation of the ARC unit.\",\"PeriodicalId\":261592,\"journal\":{\"name\":\"Proceedings IEEE International Conference on Application-Specific Systems, Architectures, and Processors. ASAP 2003\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE International Conference on Application-Specific Systems, Architectures, and Processors. ASAP 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASAP.2003.1212842\",\"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 IEEE International Conference on Application-Specific Systems, Architectures, and Processors. ASAP 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.2003.1212842","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application-specific computing with adaptive register file architectures
The demand for higher computing power to effectively execute compute-intensive functions and thus more on-chip computing resources is ever increasing. On the other hand, applications that demand larger on-chip memory bandwidth are continuously emerging. We propose adaptive register file computing (ARC) unit, a novel on-chip processing element that leverages application-specific processing capabilities. The ARC unit supplements a conventional register file to provide large memory bandwidth, or acts as a configurable computing unit to provide higher on-chip computing capacity, depending on the requirement of a specific application. When an out-of-order 8-wide issue superscalar processor is supplemented with the ARC unit to process matrix multiplication, a compute-intensive core function in most multimedia applications, results show a performance increase of up to 12%. Similarly, a 9% performance enhancement is seen when the matrix multiplication is performed in an out-of-order 4-wide issue superscalar processor supplemented with the ARC unit. We also discuss the microarchitecture level details for the implementation of the ARC unit.