Gokmen, Tayfun

Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations

Gokmen, T., & Vlasov, Y. (2016) · Frontiers in Neuroscience

Advanced Memory and Neural ComputingAdvanced Neural Network Applications

Cited by 491

Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices

Gokmen, T., Onen, M., & Haensch, W. (2017) · Frontiers in Neuroscience

Advanced Memory and Neural ComputingAdvanced Neural Network Applications

Cited by 162

A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays

Rasch, M. J., Moreda, D., Gokmen, T., Le Gallo, M., Carta, F., Goldberg, C., El Maghraoui, K., Sebastian, A., & Narayanan, V. (2021) · 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS)

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 160

The marriage of training and inference for scaled deep learning analog hardware

Gokmen, T., Rasch, M. J., & Haensch, W. (2019) · 2019 IEEE International Electron Devices Meeting (IEDM)

Advanced Memory and Neural ComputingAnalog and Mixed-Signal Circuit Design

Cited by 37

RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog Arrays

Rasch, M. J., Gokmen, T., Rigotti, M., & Haensch, W. (2019) · Frontiers in Neuroscience

Advanced Neural Network ApplicationsAdvanced Memory and Neural Computing

Cited by 14