High-Performance Adaption of ARM Processors into Network-on-Chip Architectures

被引:0
|
作者
Tung Nguyen [1 ,2 ]
Duy-Hieu Bui [1 ]
Hai-Phong Phan [1 ]
Trang-Trinh Dang [2 ]
Xuan-Tu Tran [1 ]
机构
[1] VNU Univ Engn & Technol, SIS Lab, Hanoi, Vietnam
[2] RMIT Vietnam, Ho Chi Minh City, Vietnam
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The demand for system scalability, reusability, and the decoupling between computation and communication have motivated the growth of Network-on-Chip (NoC) paradigm in the recent years. The system design has changed from the computation centric design to the communication centric design. Researchers have proposed a number of NoC architectures. Most of these works focus on network architectures and routing algorithms, however, the interfaces between network architectures and processing units also need to be addressed to improve the overall performance of the system. This paper presents an efficient AXI (Advanced eXtensible Interface) compliant network adapter for 2D mesh Wormhole-based NoC architectures, named AXI-NoC adapter. The proposed network adapter achieves high frequency of 650MHz with a low area footprint (952 cells, approximate to 2,793 mu m(2) with a CMOS 45nm technology) by using an effective micro-architecture and with zero latency by using the mux-selection method.
引用
收藏
页码:222 / 227
页数:6
相关论文
共 50 条
  • [1] AXI-NoC: High-Performance Adaptation Unit for ARM Processors in Network-on-Chip Architectures
    Xuan-Tu Tran
    Tung Nguyen
    Hai-Phong Phan
    Duy-Hieu Bui
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2017, E100A (08): : 1650 - 1660
  • [2] A High-performance Network-on-Chip Topology for Neuromorphic Architectures
    Akbari, Nasrin
    Modarressi, Mehdi
    2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) AND IEEE/IFIP INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (EUC), VOL 2, 2017, : 9 - 16
  • [3] Multicast-Aware High-Performance Wireless Network-on-Chip Architectures
    Duraisamy, Karthi
    Xue, Yuankun
    Bogdan, Paul
    Pande, Partha Pratim
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2017, 25 (03) : 1126 - 1139
  • [4] High-Performance and Energy-Efficient Network-on-Chip Architectures for Graph Analytics
    Duraisamy, Karthi
    Lu, Hao
    Pande, Partha Pratim
    Kalyanaraman, Ananth
    ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 2016, 15 (04)
  • [5] Photonic Network-on-Chip Architectures Using Multi layer Deposited Silicon Materials for High-Performance Chip Multiprocessors
    Biberman, Aleksandr
    Preston, Kyle
    Hendry, Gilbert
    Sherwood-Droz, Nicolas
    Chan, Johnnie
    Levy, Jacob S.
    Lipson, Michal
    Bergman, Keren
    ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, 2011, 7 (02)
  • [6] LumiNOC: A Power-Efficient, High-Performance, Photonic Network-on-Chip for Future Parallel Architectures
    Li, Cheng
    Browning, Mark
    Gratz, Paul V.
    Palermo, Samuel
    PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES AND COMPILATION TECHNIQUES (PACT'12), 2012, : 421 - 422
  • [7] A power and performance model for network-on-chip architectures
    Banerjee, N
    Vellanki, P
    Chatha, KS
    DESIGN, AUTOMATION AND TEST IN EUROPE CONFERENCE AND EXHIBITION, VOLS 1 AND 2, PROCEEDINGS, 2004, : 1250 - 1255
  • [8] An Energy and Performance Exploration of Network-on-Chip Architectures
    Banerjee, Arnab
    Wolkotte, Pascal T.
    Mullins, Robert D.
    Moore, Simon W.
    Smit, Gerard J. M.
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2009, 17 (03) : 319 - 329
  • [9] Photonic Network-on-Chip (NoC) Architectures for the High Performance Computing Systems
    Sarkar, Sayani
    Pal, Shantanu
    PROCEEDINGS OF 2018 IEEE APPLIED SIGNAL PROCESSING CONFERENCE (ASPCON), 2018, : 198 - 203
  • [10] ALPHA: A Learning-Enabled High-Performance Network-on-Chip Router Design for Heterogeneous Manycore Architectures
    Li, Yuan
    Louri, Ahmed
    IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2021, 6 (02): : 274 - 288