Distributed In-Memory Computing on Binary RRAM Crossbar

• Main Authors: Ni, Leibin, Huang, Hantao, Liu, Zichuan, Joshi, Rajiv V., Yu, Hao
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2017
• Subjects: RRAM crossbar; Hardware accelerator
• Online Access: https://hdl.handle.net/10356/85628; http://hdl.handle.net/10220/43796
• Institution: Nanyang Technological University

The recently emerging resistive random-access memory (RRAM) can provide nonvolatile memory storage but also intrinsic computing for matrix-vector multiplication, which is ideal for the low-power and high-throughput data analytics accelerator performed in memory. However, the existing RRAM crossbar--...