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 paper
Publications
59 results for Tayfun Gokmen
Unassisted true analog neural network training chip
- Y. Kohda
- Y. Li
- et al.
- 2020
- IEDM 2020
Conference paperDNN Training Algorithm for Nonsymmetric Devices
- Tayfun Gokmen
- 2020
- MRS Fall Meeting 2020
TalkTraining large-scale artificial neural networks on simulated resistive crossbar arrays
- Malte J. Rasch
- Tayfun Gokmen
- et al.
- 2020
- IEEE Design and Test
PaperEmerging Neural Workloads and Their Impact on Hardware
- David Brooks
- Martin M. Frank
- et al.
- 2020
- DATE 2020
Conference paperAlgorithm for Training Neural Networks on Resistive Device Arrays
- Tayfun Gokmen
- Wilfried Haensch
- 2020
- Frontiers in Neuroscience
PaperMetal-oxide based, CMOS-compatible ECRAM for Deep Learning Accelerator
- S. Kim
- John A. Ott
- et al.
- 2019
- IEDM 2019
Conference paperThe marriage of training and inference for scaled deep learning analog hardware
- Tayfun Gokmen
- Malte J. Rasch
- et al.
- 2019
- IEDM 2019
Conference paperNeural network accelerator design with resistive crossbars: Opportunities and challenges
- Shubham Jain
- Aayush Ankit
- et al.
- 2019
- IBM J. Res. Dev
PaperRAPA-convNets: Modified convolutional networks for accelerated training on architectures with analog arrays
- Malte J. Rasch
- Tayfun Gokmen
- et al.
- 2019
- Frontiers in Neuroscience
Paper