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

被引：27
|
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
  • [1] A Review of Near-Memory Computing Architectures: Opportunities and Challenges
    Singh, Gagandeep
    Chelini, Lorenzo
    Corda, Stefano
    Awan, Ahsan Javed
    Stuijk, Sander
    Jordans, Roel
    Corporaal, Henk
    Boonstra, Albert-Jan
    2018 21ST EUROMICRO CONFERENCE ON DIGITAL SYSTEM DESIGN (DSD 2018), 2018, : 608 - 617
  • [2] Trends and Opportunities for SRAM Based In-Memory and Near-Memory Computation
    Srinivasa, Srivatsa
    Ramanathan, Akshay Krishna
    Sundaram, Jainaveen
    Kurian, Dileep
    Gopal, Srinivasan
    Jain, Nilesh
    Srinivasan, Anuradha
    Iyer, Ravi
    Narayanan, Vijaykrishnan
    Karnik, Tanay
    PROCEEDINGS OF THE 2021 TWENTY SECOND INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN (ISQED 2021), 2021, : 547 - 552
  • [3] Identifying challenges and opportunities of in-memory computing on large HPC systems
    Huang, Dan
    Qin, Zhenlu
    Liu, Qing
    Podhorszki, Norbert
    Klasky, Scott
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2022, 164 : 106 - 122
  • [4] In-Memory Computing based Machine Learning Accelerators: Opportunities and Challenges
    Roy, Kaushik
    PROCEEDINGS OF THE 32ND GREAT LAKES SYMPOSIUM ON VLSI 2022, GLSVLSI 2022, 2022, : 203 - 204
  • [5] FeFETs for Near-Memory and In-Memory Compute
    Salahuddin, Saveef
    Tan, Ava
    Cheema, Suraj
    Shanker, Nirmaan
    Hoffmann, Michael
    Bae, J-H
    2021 IEEE INTERNATIONAL ELECTRON DEVICES MEETING (IEDM), 2021,
  • [6] NMPO: Near-Memory Computing Profiling and Offloading
    Corda, Stefano
    Kumaraswamy, Madhurya
    Awan, Ahsan Javed
    Jordans, Roel
    Kumar, Akash
    Corporaal, Henk
    2021 24TH EUROMICRO CONFERENCE ON DIGITAL SYSTEM DESIGN (DSD 2021), 2021, : 259 - 267
  • [7] Near-memory computing: Past, present, and future
    Singh, Gagandeep
    Chelini, Lorenzo
    Corda, Stefano
    Awan, Ahsan Javed
    Stuijk, Sander
    Jordans, Roel
    Corporaal, Henk
    Boonstra, Albert-Jan
    MICROPROCESSORS AND MICROSYSTEMS, 2019, 71
  • [8] Concurrent Data Structures for Near-Memory Computing
    Liu, Zhiyu
    Calciu, Irina
    Herlihy, Maurice
    Mutlu, Onur
    PROCEEDINGS OF THE 29TH ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES (SPAA'17), 2017, : 235 - 245
  • [9] Recryptor: A Reconfigurable Cryptographic Cortex-MO Processor With In-Memory and Near-Memory Computing for IoT Security
    Zhang, Yiqun
    Xu, Li
    Dong, Qing
    Wang, Jingcheng
    Blaauw, David
    Sylvester, Dennis
    IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2018, 53 (04) : 995 - 1005
  • [10] Special Issue on Near-Memory and In-Memory Processing
    Pande, Partha Pratim
    IEEE DESIGN & TEST, 2022, 39 (02) : 4 - 4
12345