TAMA: Turn-aware Mapping and Architecture - A Power-efficient Network-on-Chip Approach

被引:11
作者
Aligholipour, Rashid [1 ]
Baharloo, Mohammad [2 ,3 ]
Farzaneh, Behnam [4 ]
Abdollahi, Meisam [5 ]
Khonsari, Ahmad [5 ,6 ]
机构
[1] Isfahan Univ Technol, Dept Elect & Comp Engn, Esfahan, Isfahan, Iran
[2] Qom Univ Technol, Inst Res FundamentalSci IPM, Sch Comp Sci, Tehran, Iran
[3] Qom Univ Technol, Dept Elect & Comp Engn, Tehran, Iran
[4] Isfahan Univ Technol, Dept Elect & Comp Engn, Tehran, Iran
[5] Univ Tehran, Dept Elect & Comp Engn, Tehran, Iran
[6] Univ Tehran, Sch Comp Sci, Inst Res Fundamental Sci IPM, Tehran, Iran
关键词
Network-on-Chip; power-gating; energy efficiency; application mapping; NOC; MODEL; DVFS;
D O I
10.1145/3462700
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays, static power consumption in chip multiprocessor (CMP) is the most crucial concern of chip designers. Power-gating is an effective approach to mitigate static power consumption particularly in low utilization. Network-on-Chip (NoC) as the backbone of multi- and many-core chips has no exception. Previous state-of-the-art techniques in power-gating desire to decrease static power consumption alongside the lack of diminution in performance of NoC. However, maintaining the performance and utilization of the power-gating approach has not yet been addressed very well. In this article, we propose TAMA (Turn-Aware Mapping & Architecture) as an effective method to boost the performance of the TooT method that was only powering on a router during turning pass or packet injection. In other words, in the TooT method, straight and eject packets pass the router via a bypass route without powering on the router. By employing meta-heuristic approaches (Genetic and Ant Colony algorithms), we develop a specific application mapping that attempts to decrease the number of turns through interconnection networks. Accordingly, the average latency of packet transmission decreases due to fewer turns. Also, by powering on turn routers in advance with lightweight hardware, the latency of sending packets diminishes. The experimental results demonstrate that our proposed approach, i.e., TAMA achieves more than 13% reduction in packet latency of NoC in comparison with TooT. Besides the packet latency, the power consumption of TAMA is reduced by about 87% compared to the traditional approach.
引用
收藏
页数:24
相关论文
共 65 条
  • [1] Abdelfattah MS, 2013, I C FIELD PROG LOGIC
  • [2] Vulnerability assessment of fault-tolerant optical network-on-chips
    Abdollahi, Meisam
    Mohammadi, Siamak
    [J]. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2020, 145 : 140 - 159
  • [3] Insertion loss-aware application mapping onto the optical Cube-Connected Cycles architecture
    Abdollahi, Meisam
    Mohammadi, Siamak
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2020, 82
  • [4] GARNET: A Detailed On-Chip Network Model inside a Full-System Simulator
    Agarwal, Niket
    Krishna, Tushar
    Peh, Li-Shiuan
    Jha, Niraj K.
    [J]. ISPASS 2009: IEEE INTERNATIONAL SYMPOSIUM ON PERFORMANCE ANALYSIS OF SYSTEMS AND SOFTWARE, 2009, : 33 - 42
  • [5] Routerless Networks-on-Chip
    Alazemi, Fawaz
    Azizimazreah, Arash
    Bose, Bella
    Chen, Lizhong
    [J]. 2018 24TH IEEE INTERNATIONAL SYMPOSIUM ON HIGH PERFORMANCE COMPUTER ARCHITECTURE (HPCA), 2018, : 492 - 503
  • [6] [Anonymous], 2013, ACM SIGARCH COMPUT A, DOI DOI 10.1145/2508148.2485950
  • [7] Traffic-aware performance optimization in Real-time wireless network on chip
    Baharloo, Mohammad
    Khonsari, Ahmad
    Dolati, Mahdi
    Shiri, Pouya
    Ebrahimi, Masoumeh
    Rahmati, Dara
    [J]. NANO COMMUNICATION NETWORKS, 2020, 26
  • [8] ChangeSUB: A power efficient multiple network-on-chip architecture
    Baharloo, Mohammad
    Aligholipour, Rashid
    Abdollahi, Meisam
    Khonsari, Ahmad
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2020, 83 (83)
  • [9] A low-power wireless-assisted multiple network-on-chip
    Baharloo, Mohammad
    Khonsari, Ahmad
    [J]. MICROPROCESSORS AND MICROSYSTEMS, 2018, 63 : 104 - 115
  • [10] Belkebir Djalila, 2019, INT C NETW ADV SYST, P1