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
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55 results for Tayfun Gokmen
Unassisted true analog neural network training chip
- Y. Kohda
- Y. Li
- et al.
- 2020
- IEDM 2020
Metal-oxide based, CMOS-compatible ECRAM for Deep Learning Accelerator
- S. Kim
- John A. Ott
- et al.
- 2019
- IEDM 2019
The marriage of training and inference for scaled deep learning analog hardware
- Tayfun Gokmen
- Malte J. Rasch
- et al.
- 2019
- IEDM 2019
ECRAM as Scalable Synaptic Cell for High-Speed, Low-Power Neuromorphic Computing
- Jianshi Tang
- Douglas M. Bishop
- et al.
- 2018
- IEDM 2018
DNN Training Algorithm for Nonsymmetric Devices
- Tayfun Gokmen
- 2020
- MRS Fall Meeting 2020
High efficiency Cu2ZnSn(S,Se)4 solar cells by applying a double in 2S3/CdS Emitter
- Jeehwan Kim
- Homare Hiroi
- et al.
- 2014
- Advanced Materials
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
Hardware Algorithm Co-optimization on Resistive RAM Cross-bar Array for Scalable Analog Compute Technology for AI application
- Y. Kim
- S.-C. Seo
- et al.
- 2021
- SNW 2021
Emerging Neural Workloads and Their Impact on Hardware
- David Brooks
- Martin M. Frank
- et al.
- 2020
- DATE 2020