{"title":"具有请求-响应仲裁的争用感知缓存旁路","authors":"Aritra Bagchi, Dinesh Joshi, Preeti Ranjan Panda","doi":"10.1145/3632748","DOIUrl":null,"url":null,"abstract":"<p>In modern multi-processor systems-on-chip (MPSoCs), requests from different processor cores, accelerators, and their responses from the lower level memory contend for the shared cache bandwidth, making it a critical performance bottleneck. Prior research on shared cache management has considered requests from cores, but has ignored crucial contributions from their responses. Prior cache bypass techniques focused on data reuse and neglected the system-level implications of shared cache contention. We propose COBRRA, a novel shared cache controller policy that mitigates the contention by aggressively bypassing selected responses from the lower level memory, and scheduling the remaining requests and responses to the cache efficiently. COBRRA is able to improve the average performance of a set of 15 SPEC workloads by \\(49\\% \\) and \\(33\\% \\) compared to the no-bypass baseline and the best performing state-of-the-art bypass solution, respectively. Furthermore, COBRRA reduces the overall cache energy consumption by \\(38\\% \\) and \\(31\\% \\) compared to the no-bypass baseline and the most energy-efficient state-of-the-art bypass solution, respectively.</p>","PeriodicalId":50914,"journal":{"name":"ACM Transactions on Embedded Computing Systems","volume":"49 8","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"COBRRA: COntention aware cache Bypass with Request-Response Arbitration\",\"authors\":\"Aritra Bagchi, Dinesh Joshi, Preeti Ranjan Panda\",\"doi\":\"10.1145/3632748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In modern multi-processor systems-on-chip (MPSoCs), requests from different processor cores, accelerators, and their responses from the lower level memory contend for the shared cache bandwidth, making it a critical performance bottleneck. Prior research on shared cache management has considered requests from cores, but has ignored crucial contributions from their responses. Prior cache bypass techniques focused on data reuse and neglected the system-level implications of shared cache contention. We propose COBRRA, a novel shared cache controller policy that mitigates the contention by aggressively bypassing selected responses from the lower level memory, and scheduling the remaining requests and responses to the cache efficiently. COBRRA is able to improve the average performance of a set of 15 SPEC workloads by \\\\(49\\\\% \\\\) and \\\\(33\\\\% \\\\) compared to the no-bypass baseline and the best performing state-of-the-art bypass solution, respectively. Furthermore, COBRRA reduces the overall cache energy consumption by \\\\(38\\\\% \\\\) and \\\\(31\\\\% \\\\) compared to the no-bypass baseline and the most energy-efficient state-of-the-art bypass solution, respectively.</p>\",\"PeriodicalId\":50914,\"journal\":{\"name\":\"ACM Transactions on Embedded Computing Systems\",\"volume\":\"49 8\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2023-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Transactions on Embedded Computing Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/3632748\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Embedded Computing Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3632748","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
COBRRA: COntention aware cache Bypass with Request-Response Arbitration
In modern multi-processor systems-on-chip (MPSoCs), requests from different processor cores, accelerators, and their responses from the lower level memory contend for the shared cache bandwidth, making it a critical performance bottleneck. Prior research on shared cache management has considered requests from cores, but has ignored crucial contributions from their responses. Prior cache bypass techniques focused on data reuse and neglected the system-level implications of shared cache contention. We propose COBRRA, a novel shared cache controller policy that mitigates the contention by aggressively bypassing selected responses from the lower level memory, and scheduling the remaining requests and responses to the cache efficiently. COBRRA is able to improve the average performance of a set of 15 SPEC workloads by \(49\% \) and \(33\% \) compared to the no-bypass baseline and the best performing state-of-the-art bypass solution, respectively. Furthermore, COBRRA reduces the overall cache energy consumption by \(38\% \) and \(31\% \) compared to the no-bypass baseline and the most energy-efficient state-of-the-art bypass solution, respectively.
期刊介绍:
The design of embedded computing systems, both the software and hardware, increasingly relies on sophisticated algorithms, analytical models, and methodologies. ACM Transactions on Embedded Computing Systems (TECS) aims to present the leading work relating to the analysis, design, behavior, and experience with embedded computing systems.