An Energy-Efficient On-Chip Memory Structure for Variability-Aware Near-Threshold Operation

被引:0
|
作者
Shiomi, Jun [1 ]
Ishihara, Tohru [1 ]
Onodera, Hidetoshi [1 ]
机构
[1] Kyoto Univ, Grad Sch Informat, Sakyo Ku, Kyoto 6068501, Japan
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
On-chip memory is one of the most energy consuming components in processors. Aggressive voltage scaling to the sub-/near-threshold region is thus applied even to the memory used for ultra-low power applications. In this paper, an energy-efficient cell-based memory structure which is stably working with a near-threshold operating voltage is proposed. The circuit simulation using a commercial 28-nm technology shows that the energy consumption for the readout operation in our memory proposed here is up to 61% less than the energy dissipated in an existing cell-based memory and a conventional SRAM circuit. The simulation using a foundry provided Monte Carlo package also shows that the 3 sigma worst case read-access time of our cell-based memory is comparable to that of the SRAM circuit.
引用
收藏
页码:23 / 28
页数:6
相关论文
共 50 条
  • [21] Variability-Aware Task Allocation for Energy-Efficient Quality of Service Provisioning in Embedded Streaming Multimedia Applications
    Paterna, Francesco
    Acquaviva, Andrea
    Caprara, Alberto
    Papariello, Francesco
    Desoli, Giuseppe
    Benini, Luca
    IEEE TRANSACTIONS ON COMPUTERS, 2012, 61 (07) : 939 - 953
  • [22] XOMA: Exclusive On-Chip Memory Architecture for Energy-Efficient Deep Learning Acceleration
    Sim, Hyeonuk
    Anderson, Jason H.
    Lee, Jongeun
    24TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC 2019), 2019, : 651 - 656
  • [23] Near-Threshold Operation for Power-Efficient Computing? It Depends ...
    Chang, Leland
    Haensch, Wilfried
    2012 49TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2012, : 1155 - 1159
  • [24] Throughput Balancing for Energy Efficient Near-Threshold Manycores
    Stamelakos, Ioannis
    Xydis, Sotirios
    Palermo, Gianluca
    Silvano, Cristina
    PROCEEDINGS OF 2016 26TH INTERNATIONAL WORKSHOP ON POWER AND TIMING MODELING, OPTIMIZATION AND SIMULATION (PATMOS), 2016, : 64 - 69
  • [25] MCAIMem: A Mixed SRAM and eDRAM Cell for Area and Energy-Efficient On-Chip AI Memory
    Nguyen, Duy-Thanh
    Bhattacharjee, Abhiroop
    Moitra, Abhishek
    Panda, Priyadarshini
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2024, 32 (11) : 2023 - 2036
  • [26] Challenges and Circuit Techniques for Energy-Efficient On-Chip Nonvolatile Memory Using Memristive Devices
    Chang, Meng-Fan
    Lee, Albert
    Chen, Pin-Cheng
    Lin, Chrong Jung
    King, Ya-Chin
    Sheu, Shyh-Shyuan
    Ku, Tzu-Kun
    IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2015, 5 (02) : 183 - 193
  • [27] Tri-HD: Energy-Efficient On-Chip Learning With In-Memory Hyperdimensional Computing
    Xu, Weihong
    Gupta, Saransh
    Morris, Justin
    Shen, Xincheng
    Imani, Mohsen
    Aksanli, Baris
    Rosing, Tajana
    IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2025, 44 (02) : 525 - 539
  • [28] ViPZonE: Hardware Power Variability-Aware Virtual Memory Management for Energy Savings
    Gottscho, Mark
    Bathen, Luis A. D.
    Dutt, Nikil
    Nicolau, Alex
    Gupta, Puneet
    IEEE TRANSACTIONS ON COMPUTERS, 2015, 64 (05) : 1483 - 1496
  • [29] An Energy-Efficient and Area-Efficient Depthwise Separable Convolution Accelerator with Minimal On-Chip Memory Access
    Chen, Yi
    Lou, Jie
    Lanius, Christian
    Freye, Florian
    Loh, Johnson
    Gemmeke, Tobias
    2023 IFIP/IEEE 31ST INTERNATIONAL CONFERENCE ON VERY LARGE SCALE INTEGRATION, VLSI-SOC, 2023, : 50 - 55
  • [30] Energy Efficient Network-on-Chip Architectures for Many-Core Near-Threshold Computing System
    Rajamanikkam, Chidhambaranathan
    Rajesh, J. S.
    Chakraborty, Koushik
    Roy, Sanghamitra
    JOURNAL OF LOW POWER ELECTRONICS, 2019, 15 (02) : 115 - 128