RaPiD: AI Accelerator for Ultra-Low Precision Training and Inference
- Swagath Venkataramani
- Vijayalakshmi Srinivasan
- et al.
- 2021
- ISCA 2021
Publications
250 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
HERMES Core - A 14nm CMOS and PCM-based In-Memory Compute Core using an array of 300ps/LSB Linearized CCO-based ADCs and local digital processing
- Riduan Khaddam-Aljameh
- Milos Stanisavljevic
- et al.
- 2021
- VLSI Circuits 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
- 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