{"title":"A Staged Memory Resource Management Method for CMP systems","authors":"Yangguo Liu, Junlin Lu, Dong Tong, Xu Cheng","doi":"10.1109/ASAP.2017.7995264","DOIUrl":null,"url":null,"abstract":"Memory interference is a critical impediment to system performance in CMP systems. To address this problem, we first propose a Dynamically Proportional Bandwidth Throttling policy (DPBT), which dynamically throttles back memory-intensive applications based on their memory access behavior. DPBT achieves a more balance memory bandwidth partitioning. Moreover, we improve the previous memory channel partitioning scheme by integrating it with a bank partitioning. We further integrate DPBT with the improved memory channel partitioning scheme and a memory scheduling policy to leverage the architecture advantages, and present a Stage Memory Resource Management Method (SRM). Experimental results show that DPBT improves system throughput/fairness by 13.5%/31.1%. SRM provides 27.1% better system throughput and 34.8% better system fairness.","PeriodicalId":405953,"journal":{"name":"2017 IEEE 28th International Conference on Application-specific Systems, Architectures and Processors (ASAP)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 28th International Conference on Application-specific Systems, Architectures and Processors (ASAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.2017.7995264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Memory interference is a critical impediment to system performance in CMP systems. To address this problem, we first propose a Dynamically Proportional Bandwidth Throttling policy (DPBT), which dynamically throttles back memory-intensive applications based on their memory access behavior. DPBT achieves a more balance memory bandwidth partitioning. Moreover, we improve the previous memory channel partitioning scheme by integrating it with a bank partitioning. We further integrate DPBT with the improved memory channel partitioning scheme and a memory scheduling policy to leverage the architecture advantages, and present a Stage Memory Resource Management Method (SRM). Experimental results show that DPBT improves system throughput/fairness by 13.5%/31.1%. SRM provides 27.1% better system throughput and 34.8% better system fairness.