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作者:

Fang, Juan (Fang, Juan.) (学者:方娟) | Leng, Zhen-Yu (Leng, Zhen-Yu.) | Liu, Si-Tong (Liu, Si-Tong.) | Yao, Zhi-Cheng (Yao, Zhi-Cheng.) | Sui, Xiu-Feng (Sui, Xiu-Feng.)

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EI Scopus SCIE CSCD

摘要:

Computer architecture is transiting from the multicore era into the heterogeneous era in which heterogeneous architectures use on-chip networks to access shared resources and how a network is configured will likely have a significant impact on overall performance and power consumption. Recently, heterogeneous network on chip (NoC) has been proposed not only to achieve performance comparable to that of the NoCs with buffered routers but also to reduce buffer cost and energy consumption. However, heterogeneous NoC design for heterogeneous CPU-CPU architectures has not been studied in depth. This paper first evaluates the performance and power consumption of a variety of static hot-potato based heterogeneous NoCs with different buffered and bufferless router placements, which is helpful to explore the design space for heterogeneous GPU-CPU interconnection. Then it proposes Unidirectional Flow Control (UFC), a simple credit-based flow control mechanism for heterogeneous NoC in CPU-CPU architectures to control network congestion. UFC can guarantee that there are always unoccupied entries in buffered routers to receive flits coming from adjacent bufferless routers. Our evaluations show that when compared to hot-potato routing, UFC improves performance by an average of 14.1% with energy increased by an average of 5.3% only.

关键词:

heterogeneous (hybrid) system topology network on chip

作者机构:

  • [ 1 ] [Fang, Juan]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 2 ] [Leng, Zhen-Yu]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 3 ] [Liu, Si-Tong]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China
  • [ 4 ] [Yao, Zhi-Cheng]Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
  • [ 5 ] [Sui, Xiu-Feng]Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China

通讯作者信息:

  • 方娟

    [Fang, Juan]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China

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来源 :

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY

ISSN: 1000-9000

年份: 2015

期: 1

卷: 30

页码: 74-83

1 . 9 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:168

JCR分区:4

中科院分区:4

被引次数:

WoS核心集被引频次: 13

SCOPUS被引频次: 17

ESI高被引论文在榜: 0 展开所有

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