Challenges and Opportunities: From Near-memory Computing to In-memory Computing

被引：30
|
作者：
Khoram, Soroosh [1 ]
Zha, Yue [1 ]
Zhang, Jialiang [1 ]
Li, Jing [1 ]
机构：
[1] Univ Wisconsin, Dept Elect & Comp Engn, 1415 Johnson Dr, Madison, WI 53706 USA
来源：
ISPD'17: PROCEEDINGS OF THE 2017 ACM INTERNATIONAL SYMPOSIUM ON PHYSICAL DESIGN | 2017年
关键词：
In-memory processing; Near-memory processing; Nonvolatile Memory; 3D Integration; DEVICE; DRAM; RAM;
D O I：
10.1145/3036669.3038242
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The confluence of the recent advances in technology and the ever-growing demand for large-scale data analytics created a renewed interest in a decades-old concept, processing-in-memory (PIM). PIM, in general, may cover a very wide spectrum of compute capabilities embedded in close proximity to or even inside the memory array. In this paper, we present an initial taxonomy for dividing PIM into two broad categories: 1) Near-memory processing and 2) In-memory processing. This paper highlights some interesting work in each category and provides insights into the challenges and possible future directions.
引用
收藏
页码：43 / 46
页数：4
相关论文
共 50 条
  • [21] In-Memory Logic Operations and Neuromorphic Computing in Non-Volatile Random Access Memory
    Ou, Qiao-Feng
    Xiong, Bang-Shu
    Yu, Lei
    Wen, Jing
    Wang, Lei
    Tong, Yi
    MATERIALS, 2020, 13 (16)
  • [22] Almost-Nonvolatile IGZO-TFT-Based Near-Sensor In-Memory Computing
    Liu, Jialong
    Tang, Wenjun
    Liu, Yongpan
    Yang, Huazhong
    Li, Xueqing
    2021 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2021,
  • [23] MOL-Based In-Memory Computing of Binary Neural Networks
    Ali, Khaled Alhaj
    Baghdadi, Amer
    Dupraz, Elsa
    Leonardon, Mathieu
    Rizk, Mostafa
    Diguet, Jean-Philippe
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2022, 30 (07) : 869 - 880
  • [24] Resistive Memory-Based In-Memory Computing: From Device and Large-Scale Integration System Perspectives
    Yan, Bonan
    Li, Bing
    Qiao, Ximing
    Xue, Cheng-Xin
    Chang, Meng-Fan
    Chen, Yiran
    Li, Hai
    ADVANCED INTELLIGENT SYSTEMS, 2019, 1 (07)
  • [25] A Survey of Resource Management for Processing-In-Memory and Near-Memory Processing Architectures
    Khan, Kamil
    Pasricha, Sudeep
    Kim, Ryan Gary
    JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS, 2020, 10 (04) : 1 - 31
  • [26] A Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Fused Frame and Event-Based Target Identification and Tracking
    Lele, Ashwin Sanjay
    Chang, Muya
    Spetalnick, Samuel D.
    Crafton, Brian
    Konno, Shota
    Wan, Zishen
    Bhat, Ashwin
    Khwa, Win-San
    Chih, Yu-Der
    Chang, Meng-Fan
    Raychowdhury, Arijit
    IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2024, 59 (01) : 52 - 64
  • [27] Physics-based modeling approaches of resistive switching devices for memory and in-memory computing applications
    Ielmini, D.
    Milo, V.
    JOURNAL OF COMPUTATIONAL ELECTRONICS, 2017, 16 (04) : 1121 - 1143
  • [28] Physics-based modeling approaches of resistive switching devices for memory and in-memory computing applications
    D. Ielmini
    V. Milo
    Journal of Computational Electronics, 2017, 16 : 1121 - 1143
  • [29] Rediscovering Majority Logic in the Post-CMOS Era: A Perspective from In-Memory Computing
    Reuben, John
    JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS, 2020, 10 (03) : 1 - 15
  • [30] A Fast, Reliable and Wide-Voltage-Range In-Memory Computing Architecture
    Simon, William
    Galicia, Juan
    Levisse, Alexandre
    Zapater, Marina
    Atienza, David
    PROCEEDINGS OF THE 2019 56TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2019,
12345