Atsuya Okazaki

Publications

• Emerging Nonvolatile Memories for Analog Neuromorphic Computing

  • • An Chen
    • Stefano Ambrogio
    • et al.
  • 2024
  • ECS Spring Meeting 2024

• Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)

  • • Geoffrey Burr
    • Sidney Tsai
    • et al.
  • 2023
  • IEDM 2023

• An analog-AI chip for energy-efficient speech recognition and transcription

  • • S. Ambrogio
    • Pritish Narayanan
    • et al.
  • 2023
  • Nature

• Phase Change Memory-based Hardware Accelerators for Deep Neural Networks

  • • Geoffrey Burr
    • Pritish Narayanan
    • et al.
  • 2023
  • VLSI Technology 2023

• Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks

  • • Sidney Tsai
    • Pritish Narayanan
    • et al.
  • 2023
  • ISCAS 2023

• Analog In-Memory Computing for Deep Neural Network Acceleration

  • • Andrea Fasoli
    • Geoffrey Burr
    • et al.
  • 2023
  • MRS Spring Meeting 2023

• Analog-AI: Hardware Acceleration for Deep Neural Network Inference

  • • Geoffrey Burr
    • Sidney Tsai
    • et al.
  • 2023
  • NeuMatDeCaS 2023

• Impact of PCM noise on the Spiking Restricted Boltzmann Machine via On-Chip Trainable PCM synapses

  • • Uicheol Shin
    • Masatoshi Ishii
    • et al.
  • 2022
  • MRS Fall Meeting 2022

• Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers

  • • Atsuya Okazaki
    • Pritish Narayanan
    • et al.
  • 2022
  • ISCAS 2022

• Fully On-Chip MAC at 14 nm Enabled by Accurate Row-Wise Programming of PCM-Based Weights and Parallel Vector-Transport in Duration-Format

  • • Pritish Narayanan
    • Stefano Ambrogio
    • et al.
  • 2021
  • IEEE T-ED