On-Chip Trainable 1.4M 6T2R PCM Synaptic Array with 1.6K Stochastic LIF Neurons for Spiking RBM
- M. Ishii
- U. Shin
- et al.
- 2019
- IEDM 2019
Publications
This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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Year
12 results for Masatoshi Ishii
NVM neuromorphic core with 64k-cell (256-by-256) phase change memory synaptic array with on-chip neuron circuits for continuous in-situ learning
- Sangbum Kim
- M. Ishii
- et al.
- 2015
- IEDM 2015
Analog In-Memory Computing for Deep Neural Network Acceleration
- Andrea Fasoli
- Geoffrey Burr
- et al.
- 2023
- MRS Spring Meeting 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 14nm enabled by accurate row-wise programming of PCM-based weights and parallel vector-transport in duration-format
- Pritish Narayanan
- Stefano Ambrogio
- et al.
- 2021
- VLSI 2021
Lightweight Refresh Method for PCM-based Neuromorphic Circuits
- M. Ito
- M. Ishii
- et al.
- 2018
- NANO 2018
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
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