XMAP: Programming Memristor Crossbars for Analog Matrix-Vector Multiplication: Toward High Precision Using Representable Matrices Article

Uysal, Necati, Zhang, Baogang, Jha, Sumit Kumar et al. (2022). XMAP: Programming Memristor Crossbars for Analog Matrix-Vector Multiplication: Toward High Precision Using Representable Matrices . IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 41(6), 1827-1841. 10.1109/TCAD.2021.3097299

cited authors

  • Uysal, Necati; Zhang, Baogang; Jha, Sumit Kumar; Ewetz, Rickard

authors

publication date

  • June 1, 2022

published in

keywords

  • ARRAY
  • Analog matrix-vector multiplication (MVM)
  • Computer Science
  • Computer Science, Hardware & Architecture
  • Computer Science, Interdisciplinary Applications
  • Engineering
  • Engineering, Electrical & Electronic
  • Science & Technology
  • Technology
  • in-memory computing
  • memristor
  • nonvolatile resistive technology

Digital Object Identifier (DOI)

publisher

  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

start page

  • 1827

end page

  • 1841

volume

  • 41

issue

  • 6