Publications

198 results for Vijay Narayanan

Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- - Manuel Le Gallo
  - Corey Liam Lammie
  - et al.
- 2023
- APL Mach. Learn.
A Novel Electrical Bias Technique to Recover Degraded ReRAM Arrays for Deep Learning
- - Fabia Farlin Athena
  - Nanbo Gong
  - et al.
- 2023
- MRS Fall Meeting 2023
ReSta: Recovery of Accuracy During Training of Deep Learning Models in a 14-nm Technology-Based ReRAM Array
- - Fabia Farlin Athena
  - Nanbo Gong
  - et al.
- 2023
- IEEE T-ED
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
- - Malte J. Rasch
  - Charles Mackin
  - et al.
- 2023
- Nature Communications
An analog-AI chip for energy-efficient speech recognition and transcription
- - S. Ambrogio
  - Pritish Narayanan
  - et al.
- 2023
- Nature
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference
- - Manuel Le Gallo
  - Riduan Khaddam-Aljameh
  - et al.
- 2023
- Nature Electronics
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
Optimization of Projected Phase Change Memory for Analog In-Memory Computing Inference
- - Ning Li
  - Charles Mackin
  - et al.
- 2023
- Advanced Materials
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