Thermal and Performance Efficient On-Chip Surface-Wave Communication for Many-Core Systems in Dark Silicon Era

被引:5
|
作者
Karkar, Ammar [1 ]
Dahir, Nizar [2 ]
Mak, Terrence [3 ]
Tong, Kin-Fai [4 ]
机构
[1] Univ Kufa, IT Res & Dev Ctr, Dept Elect & Commun Engn, Kufa St,PO 21, Najaf, Iraq
[2] Al Nahrain Univ, Coll Informat Engn, Baghdad 10070, Iraq
[3] Univ Southampton, Fac Phys Sci & Engn, Univ Rd, Southampton S017 1BJ, Hants, England
[4] UCL, Dept Elect & Elect Engn, Torrington Pl, London WC1E 7JE, England
关键词
Networks-on-Chip; Dark silicon; surface wave; many-core systems; on-chip interconnects; thermal reliability; communication efficient; multicast; NETWORK; INTERCONNECTS; POWER; MULTICAST;
D O I
10.1145/3501771
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Due to the exceedingly high integration density of VLSI circuits and the resulting high power density, thermal integrity became a major challenge. One way to tackle this problem is Dark silicon. Dark silicon is the amount of circuitry in a chip that is forced to switch off to insure thermal integrity of the system and prevent permanent thermal-related faults. In many-core systems, the presence of Dark Silicon adds new design constraints, in general, and on the communication fabric of such systems, in particular. This is due to the fact that system-level thermal-management systems tend to increase the distance between high activity cores to insure better thermal balancing and integrity. Consequently, a designing dilemma is created where a compromise has to be made between interconnect performance and power consumption. This study proposes a hybrid wire and surface-wave interconnect (SWI) based Network-on-Chip (NoC) to address the dark silicon challenge. Through efficient utilization of one-hop cross the chip communication SWI links, the proposed architecture is able to offer an efficient and scalable communication platform in terms of performance, power, and thermal impact. As a result, evaluations of the proposed architecture compared to baseline architecture under dark silicon scenarios show reduction in maximum temperature by 15 degrees C, average delay up to 73.1%, and energy-saving up to similar to 3X. This study explores the promising potential of the proposed architecture in extending the utilization wall for current and future many-core systems in dark silicon era.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Variability-Aware Dark Silicon Management in On-Chip Many-Core Systems
    Shafique, Muhammad
    Gnad, Dennis
    Garg, Siddharth
    Henkel, Joerg
    2015 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE), 2015, : 387 - 392
  • [2] Chip Temperature Optimization for Dark Silicon Many-Core Systems
    Li, Mengquan
    Liu, Weichen
    Yang, Lei
    Chen, Peng
    Chen, Chao
    IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2018, 37 (05) : 941 - 953
  • [3] Online Testing of Many-Core Systems in the Dark Silicon Era
    Haghbayan, Mohammad-Hashem
    Rahmani, Amir-Mohammad
    Liljeberg, Pasi
    Plosila, Juha
    Tenhunen, Hannu
    PROCEEDINGS OF THE 2014 IEEE 17TH INTERNATIONAL SYMPOSIUM ON DESIGN AND DIAGNOSTICS OF ELECTRONIC CIRCUITS & SYSTEMS (DDECS), 2014, : 141 - 146
  • [4] TSP: Thermal Safe Power - Efficient power budgeting for Many-Core Systems in Dark Silicon
    Pagani, Santiago
    Khdr, Heba
    Munawar, Waqaas
    Chen, Jian-Jia
    Shafique, Muhammad
    Li, Minming
    Henkel, Joerg
    2014 INTERNATIONAL CONFERENCE ON HARDWARE/SOFTWARE CODESIGN AND SYSTEM SYNTHESIS (CODES+ISSS), 2014,
  • [5] DTaPO: Dynamic Thermal-Aware Performance Optimization for Dark Silicon Many-Core Systems
    Mohammed, Mohammed Sultan
    Al-Kubati, Ali A. M.
    Paraman, Norlina
    Ab Rahman, Ab Al-Hadi
    Marsono, M. N.
    ELECTRONICS, 2020, 9 (11) : 1 - 18
  • [6] FoToNoC: A Folded Torus-Like Network-on-Chip Based Many-Core Systems-on-Chip in the Dark Silicon Era
    Yang, Lei
    Liu, Weichen
    Jiang, Weiwen
    Li, Mengquan
    Chen, Peng
    Sha, Edwin Hsing-Mean
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2017, 28 (07) : 1905 - 1918
  • [7] TornadoNoC: A Lightweight and Scalable On-Chip Network Architecture for the Many-Core Era
    Lee, Junghee
    Nicopoulos, Chrysostomos
    Lee, Hyung Gyu
    Kim, Jongman
    ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2013, 10 (04)
  • [8] Exploiting Dark Cores for Performance Optimization via Patterning for Many-core Chips in the Dark Silicon Era
    Wang, Xiaohang
    Singh, Amit Kumar
    Wen, Shengyan
    2018 TWELFTH IEEE/ACM INTERNATIONAL SYMPOSIUM ON NETWORKS-ON-CHIP (NOCS), 2018,
  • [9] Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures
    Medina, Rafael
    Kein, Joshua
    Qureshi, Yasir
    Zapater, Marina
    Ansaloni, Giovanni
    Atienza, David
    2022 IEEE 13TH LATIN AMERICAN SYMPOSIUM ON CIRCUITS AND SYSTEMS (LASCAS), 2022, : 200 - 203
  • [10] Power-Efficient Accelerator Allocation in Adaptive Dark Silicon Many-Core Systems
    Khan, Muhammad Usman Karim
    Shafique, Muhammad
    Henkel, Joerg
    2015 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE), 2015, : 916 - 919