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
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17 results for Ning Li
Process Challenge in Analog Computing Hardware using Phase Change Memory (PCM)
- Victor Chan
- I. Ok
- et al.
- 2023
- ASMC 2023
Optimization of Projected Phase Change Memory for Analog In-Memory Computing Inference
- Ning Li
- Charles Mackin
- et al.
- 2023
- Advanced Materials
Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited)
- Martin M. Frank
- Ning Li
- et al.
- 2023
- IRPS 2023
Deep learning acceleration in 14nm CMOS compatible ReRAM array: device, material and algorithm co-optimization
- N. Gong
- Malte J. Rasch
- et al.
- 2022
- IEDM 2022
Optimised weight programming for analogue memory-based deep neural networks
- Charles Mackin
- Malte J. Rasch
- et al.
- 2022
- Nature Communications
Dust-Sized High-Power-Density Photovoltaic Cells on Si and SOI Substrates for Wafer-Level-Packaged Small Edge Computers
- Ning Li
- Kevin Han
- et al.
- 2020
- Advanced Materials
Ultra-low-power sub-photon-voltage high-efficiency light-emitting diodes
- Ning Li
- Kevin Han
- et al.
- 2019
- Nature Photonics
Some advances on optical interconnects
- Ning Li
- Tymon Barwicz
- et al.
- 2017
- IPC 2017
Single Crystal Flexible Electronics Enabled by 3D Spalling
- Ning Li
- Stephen W. Bedell
- et al.
- 2017
- Advanced Materials