{"title":"Efficient distributed memory management in a multi-core H.264 decoder on FPGA","authors":"Jiajie Zhang, Zheng Yu, Zhiyi Yu, Kexin Zhang, Zhonghai Lu, A. Jantsch","doi":"10.1109/ISSoC.2013.6675256","DOIUrl":null,"url":null,"abstract":"Memory management is a challenging issue of multi-core architecture. With growing core numbers, Distributed Shared Memory (DSM) is becoming a general trend. In this paper, a DSM based multi-core architecture is explored and evaluated via an H.264 decoder application. The memory access and communication over Network-on-Chips is managed by the Data Management Engine (DME). Experimental results realized on an Altera Stratix VI show that 9-node distributed memory system increases performance by 1.5x compared to centralized memory. Moreover, the performance of proposed DSM architecture grows linearly with the number of cores deployed.","PeriodicalId":228272,"journal":{"name":"2013 International Symposium on System on Chip (SoC)","volume":"26 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Symposium on System on Chip (SoC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSoC.2013.6675256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Memory management is a challenging issue of multi-core architecture. With growing core numbers, Distributed Shared Memory (DSM) is becoming a general trend. In this paper, a DSM based multi-core architecture is explored and evaluated via an H.264 decoder application. The memory access and communication over Network-on-Chips is managed by the Data Management Engine (DME). Experimental results realized on an Altera Stratix VI show that 9-node distributed memory system increases performance by 1.5x compared to centralized memory. Moreover, the performance of proposed DSM architecture grows linearly with the number of cores deployed.
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