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DSCF:一种面向共享存储多核DSP的数据流分簇前向技术
  • ISSN号:1000-1239
  • 期刊名称:《计算机研究与发展》
  • 时间:0
  • 分类:TP368.1[自动化与计算机技术—计算机系统结构;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]国防科学技术大学计算机学院,长沙410073
  • 相关基金:国家“八六三”高技术研究发展计划基金项目(2007AA012108);国家自然科学基金项目(60473079);教育部博士点基金项目(20059998026)
中文摘要:

多核数字信号处理器(DSP)的性能常常受限于共享存储的长延迟Cache一致性访问.数据前向(forwarding)技术是隐藏长延迟访问的一种有效手段.根据多核DSP应用的两类重要特征,提出了一种面向共享存储多核DSP结构的数据流分簇前向技术DSCF(data stream clusteredforwarding).DSCF方法的主要特点是:兼容基本的共享存储Cache一致性协议;不污染目标Cache;数据的传输速度能够与消费速度相匹配;系统结构的可扩展性好.典型测试程序的模拟评测表明,采用DSCF方法能够将Cache一致性失效率平均降低44%,将系统总体性能提升30%~70%.

英文摘要:

Multi-core digital signal processors (MC-DSPs) are new multi-core processors for the emerging next generation of high performance embedded applications. Like multi-core general processors, MC-DSPs with memory-shared structures often suffer from the long access latency involved in cache coherency operations. Data speculation technology which mainly consists of data fetching and data forwarding is an efficient approach to hide this kind of access latency. Starting from exploring two important application features of MC-DSPs, a new data stream clustered forwarding (DSCF) technique is proposed for MC-DSPs with scalable memory-shared structures. DSCF uses its own data streams forwarding primitives inserted in the codes of DSP cores as producers to trigger a customized forwarding management units (FMU) to forward shared data streams to the local data buffers of DSP cores as consumers. The transmission process of shared data streams is controlled to be matched with their being consumed process, and the forwarded data streams are partitioned into multi clusters to transmit. DSCF method is compatible with basic shared memory cache coherency protocols, and has lower hardware overhead, no pollution to destination DSP caches, well matched transmission speed and improved structure scalability. The simulation with several typical DSP benchmarks shows that DSCF can reduce the miss ratio of the MC-DSP cache coherency by 44% on average, and improve the overall system performance by 30% to 70%.

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期刊信息
  • 《计算机研究与发展》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国科学院计算技术研究所
  • 主编:徐志伟
  • 地址:北京市科学院南路6号中科院计算所
  • 邮编:100190
  • 邮箱:crad@ict.ac.cn
  • 电话:010-62620696 62600350
  • 国际标准刊号:ISSN:1000-1239
  • 国内统一刊号:ISSN:11-1777/TP
  • 邮发代号:2-654
  • 获奖情况:
  • 2001-2007百种中国杰出学术期刊,2008中国精品科...,中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,荷兰文摘与引文数据库,美国工程索引,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:40349