POWER-EFFICIENT CONFIGURATION CACHE STRUCTURE FOR COARSE-GRAINED RECONFIGURABLE ARCHITECTURE

被引:18
|
作者
Kim, Yoonjin [1 ]
机构
[1] Sookmyung Womens Univ, Dept Comp Sci, Seoul 140742, South Korea
基金
新加坡国家研究基金会;
关键词
System-on-chip (SoC); embedded systems; digital signal processing; coarse-grained reconfigurable architecture (CGRA); configuration cache; context word;
D O I
10.1142/S0218126613500011
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Coarse-grained reconfigurable architectures (CGRA) require many processing elements (PEs) and a configuration memory unit (configuration cache) for reconfiguration of its PE array. Although this structure is meant for high performance and exibility, it consumes significant power. Specially, power consumption by configuration cache is explicit overhead compared to other types of IP cores. Reducing power in configuration cache is very crucial for CGRA to be more competitive and reliable processing core in embedded systems. In this paper, I propose a power-efficient configuration cache structure based on two design schemes - one is a reusable context pipelining (RCP) architecture to reduce power-overhead caused by reconfiguration and another is a dynamic context management strategy for power saving in configuration cache. This power-efficient approach works without degrading the performance and exibility of CGRA. Experimental results show that the proposed approach saves 56.50%/86.84% of the average power in write/read-operation of configuration cache compared to the previous design.
引用
收藏
页数:27
相关论文
共 50 条
  • [41] High-Speed Power-Efficient Coarse-Grained Convolver Architecture using Depth-First Compression Scheme
    Wu, Yi-Lin
    Lu, Yi
    Huang, Juinn-Dar
    [J]. 2020 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2020,
  • [42] State-Based Full Predication for Low Power Coarse-Grained Reconfigurable Architecture
    Han, Kyuseung
    Park, Seongsik
    Choi, Kiyoung
    [J]. DESIGN, AUTOMATION & TEST IN EUROPE (DATE 2012), 2012, : 1367 - 1372
  • [43] MT-ADRES: Multithreading on coarse-grained reconfigurable architecture
    Wu, Kehuai
    Kanstein, Andreas
    Madsen, Jan
    Berekovic, Mladen
    [J]. RECONFIGURABLE COMPUTING: ARCHITECTURES, TOOLS AND APPLICATIONS, 2007, 4419 : 26 - +
  • [44] A coarse-grained FPGA architecture for reconfigurable baseband modulator/demodulator
    Wu, W
    Chin, SS
    Hong, SJ
    [J]. THIRTY-SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS - CONFERENCE RECORD, VOLS 1 AND 2, CONFERENCE RECORD, 2002, : 1613 - 1618
  • [45] CGADL: An Architecture Description Language for Coarse-Grained Reconfigurable Arrays
    Filho, Julio Oliveira
    Masekowsky, Stephan
    Schweizer, Thomas
    Rosenstiel, Wolfgang
    [J]. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2009, 17 (09) : 1247 - 1259
  • [46] CORAL: Coarse-grained Reconfigurable Architecture for ConvoLutional Neural Networks
    Yuan, Zhe
    Liu, Yongpan
    Yue, Jinshan
    Li, Jinyang
    Yang, Huazhong
    [J]. 2017 IEEE/ACM INTERNATIONAL SYMPOSIUM ON LOW POWER ELECTRONICS AND DESIGN (ISLPED), 2017,
  • [47] Architecture exploration and tools for pipelined coarse-grained reconfigurable arrays
    Stock, Florian
    Koch, Andreas
    [J]. 2006 INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE LOGIC AND APPLICATIONS, PROCEEDINGS, 2006, : 53 - 58
  • [48] Design and implementation of a coarse-grained dynamically reconfigurable hardware architecture
    Becker, J
    Pionteck, T
    Habermann, C
    Glesner, M
    [J]. IEEE COMPUTER SOCIETY WORKSHOP ON VLSI 2001, PROCEEDINGS, 2001, : 41 - 46
  • [49] MapReduce inspired loop mapping for coarse-grained reconfigurable architecture
    Yin ShouYi
    Shao ShengJia
    Liu LeiBo
    Wei ShaoJun
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2014, 57 (12) : 1 - 14
  • [50] Mixed-granularity Parallel Coarse-grained Reconfigurable Architecture
    Deng, Jinyi
    Zhang, Linyun
    Wang, Lei
    Liu, Jiawei
    Deng, Kexiang
    Tang, Shibin
    Gu, Jiangyuan
    Han, Boxiao
    Xu, Fei
    Liu, Leibo
    Wei, Shaojun
    Yin, Shouyi
    [J]. PROCEEDINGS OF THE 59TH ACM/IEEE DESIGN AUTOMATION CONFERENCE, DAC 2022, 2022, : 343 - 348