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
Conference paper
Publications
298 results for AI Hardware
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
Conference paperBit Error Robustness for Energy-Efficient DNN Accelerators
- David Stutz
- Nandhini Chandramoorthy
- et al.
- 2021
- MLSys 2021
Conference paperHardware-aware Automated AI for Efficient Deep Learning across Hybrid Deployments: Current Landscape and Future Directions
- 2021
- ISPASS 2021
Workshop paperA 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
Conference paperPrecision of synaptic weights programmed in phase-change memory devices for deep learning inference
- S. R. Nandakumar
- Irem Boybat
- et al.
- 2020
- IEDM 2020
Conference paperProspects for photonic implementations of neuromorphic devices and systems
- Bert J. Offrein
- Jacqueline Geler-Kremer
- et al.
- 2020
- IEDM 2020
Conference paperOn-chip phase change optical matrix multiplication core
- Xuan Li
- Nathan Youngblood
- et al.
- 2020
- IEDM 2020
Conference paperUltra-Low Precision 4-bit Training of Deep Neural Networks
- Xiao Sun
- Naigang Wang
- et al.
- 2020
- NeurIPS 2020
Conference paperScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- Chia-Yu Chen
- Jiamin Ni
- et al.
- 2020
- NeurIPS 2020
Conference paper