Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks
- Sidney Tsai
- Pritish Narayanan
- et al.
- 2023
- ISCAS 2023
Publications
35 results for Kohji Hosokawa
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
A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh
- Shubham Jain
- Hsinyu Tsai
- et al.
- 2023
- IEEE Transactions on VLSI Systems
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
Fully on-chip MAC at 14nm enabled by accurate row-wise programming of PCM-based weights and parallel vector-transport in duration-format
- P. Narayanan
- S. Ambrogio
- et al.
- 2021
- VLSI 2021
Circuit techniques for efficient acceleration of deep neural network inference with Analog-AI (Invited)
- Kohji Hosokawa
- Pritish Narayanan
- et al.
- 2021
- ISCAS 2021
Unassisted true analog neural network training chip
- Y. Kohda
- Y. Li
- et al.
- 2020
- IEDM 2020