Publications

248 results for AI Hardware

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
A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays
- - Malte J. Rasch
  - Diego Moreda
  - et al.
- 2021
- AICAS 2021
Bit Error Robustness for Energy-Efficient DNN Accelerators
- - David Stutz
  - Nandhini Chandramoorthy
  - et al.
- 2021
- MLSys 2021
Hardware-aware Automated AI for Efficient Deep Learning across Hybrid Deployments: Current Landscape and Future Directions
- - Kaoutar El Maghraoui
- 2021
- ISPASS 2021
A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling
- - Ankur Agrawal
  - Saekyu Lee
  - et al.
- 2021
- ISSCC 2021
Precision of synaptic weights programmed in phase-change memory devices for deep learning inference
- - S. R. Nandakumar
  - Irem Boybat
  - et al.
- 2020
- IEDM 2020
On-chip phase change optical matrix multiplication core
- - Xuan Li
  - Nathan Youngblood
  - et al.
- 2020
- IEDM 2020
Prospects for photonic implementations of neuromorphic devices and systems
- - Bert J. Offrein
  - Jacqueline Geler-Kremer
  - et al.
- 2020
- IEDM 2020
Ultra-Low Precision 4-bit Training of Deep Neural Networks
- - Xiao Sun
  - Naigang Wang
  - et al.
- 2020
- NeurIPS 2020
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- - Chia-Yu Chen
  - Jiamin Ni
  - et al.
- 2020
- NeurIPS 2020