Tayfun Gokmen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Benchmark Classification Problems

Sparse Linear Systems

Top Venues

Frontiers Artif. Intell.

Publications

Zhaoxian Wu, Tayfun Gokmen, Malte J. Rasch, Tianyi Chen
Towards Exact Gradient-based Training on Analog In-memory Computing. CoRR (2024)
Vassilis Kalantzis, Mark S. Squillante, Shashanka Ubaru, Tayfun Gokmen, Chai Wah Wu, Anshul Gupta, Haim Avron, Tomasz Nowicki, Malte J. Rasch, Murat Onen, Vanessa López-Marrero, Effendi Leobandung, Yasuteru Kohda, Wilfried Haensch, Lior Horesh
Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation. CoRR (2024)
Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu, Anshul Gupta, Shashanka Ubaru, Tayfun Gokmen, Lior Horesh
Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning. HPEC (2023)
Malte J. Rasch, Fabio Carta, Omobayode Fagbohungbe, Tayfun Gokmen
Fast offset corrected in-memory training. CoRR (2023)
O. Murat Onen, Tayfun Gokmen, Teodor K. Todorov, Tomasz Nowicki, Jesús A. del Alamo, John Rozen, Wilfried Haensch, Seyoung Kim
Neural Network Training with Asymmetric Crosspoint Elements. CoRR (2022)
O. Murat Onen, Tayfun Gokmen, Teodor K. Todorov, Tomasz Nowicki, Jesús A. del Alamo, John Rozen, Wilfried Haensch, Seyoung Kim
Neural Network Training With Asymmetric Crosspoint Elements. Frontiers Artif. Intell. 5 (2022)
Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu, Tayfun Gokmen, Haim Avron
Solving sparse linear systems with approximate inverse preconditioners on analog devices. HPEC (2021)
Malte J. Rasch, Diego Moreda, Tayfun Gokmen, Manuel Le Gallo, Fabio Carta, Cindy Goldberg, Kaoutar El Maghraoui, Abu Sebastian, Vijay Narayanan
A flexible and fast PyTorch toolkit for simulating training and inference on analog crossbar arrays. CoRR (2021)
Tayfun Gokmen
Enabling Training of Neural Networks on Noisy Hardware. Frontiers Artif. Intell. 4 (2021)
Malte J. Rasch, Diego Moreda, Tayfun Gokmen, Manuel Le Gallo, Fabio Carta, Cindy Goldberg, Kaoutar El Maghraoui, Abu Sebastian, Vijay Narayanan
A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays. AICAS (2021)
Malte J. Rasch, Tayfun Gokmen, Wilfried Haensch
Training Large-scale Artificial Neural Networks on Simulated Resistive Crossbar Arrays. IEEE Des. Test 37 (2) (2020)
David Brooks, Martin M. Frank, Tayfun Gokmen, Udit Gupta, Xiaobo Sharon Hu, Shubham Jain, Ann Franchesca Laguna, Michael T. Niemier, Ian O'Connor, Anand Raghunathan, Ashish Ranjan, Dayane Reis, Jacob R. Stevens, Carole-Jean Wu, Xunzhao Yin
Emerging Neural Workloads and Their Impact on Hardware. DATE (2020)
O. Murat Onen, Brenden A. Butters, Emily Toomey, Tayfun Gokmen, Karl K. Berggren
Design and Characterization of Superconducting Nanowire-Based Processors for Acceleration of Deep Neural Network Training. CoRR (2019)
Eduard A. Cartier, Wanki Kim, Nanbo Gong, Tayfun Gokmen, Martin M. Frank, Douglas M. Bishop, Youngseok Kim, Seyoung Kim, Takashi Ando, Ernest Y. Wu, Praneet Adusumilli, John Rozen, Paul M. Solomon, Wilfried Haensch, Matthew J. BrightSky, Abu Sebastian, Geoffrey W. Burr, Vijay Narayanan
Reliability Challenges with Materials for Analog Computing. IRPS (2019)
Shubham Jain, Aayush Ankit, Indranil Chakraborty, Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch, Kaushik Roy, Anand Raghunathan
Neural network accelerator design with resistive crossbars: Opportunities and challenges. IBM J. Res. Dev. 63 (6) (2019)
Hyungjun Kim, Malte J. Rasch, Tayfun Gokmen, Takashi Ando, Hiroyuki Miyazoe, Jae-Joon Kim, John Rozen, Seyoung Kim
Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays. CoRR (2019)
Tayfun Gokmen, Wilfried Haensch
Algorithm for Training Neural Networks on Resistive Device Arrays. CoRR (2019)
Wilfried Haensch, Tayfun Gokmen, Ruchir Puri
The Next Generation of Deep Learning Hardware: Analog Computing. Proc. IEEE 107 (1) (2019)
Malte J. Rasch, Tayfun Gokmen, Wilfried Haensch
Training large-scale ANNs on simulated resistive crossbar arrays. CoRR (2019)
Malte J. Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch
Efficient ConvNets for Analog Arrays. CoRR (2018)
Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch
Training LSTM Networks with Resistive Cross-Point Devices. CoRR (2018)
Seyoung Kim, Tayfun Gokmen, Hyung-Min Lee, Wilfried E. Haensch
Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training. CoRR (2017)
Tayfun Gokmen, O. Murat Onen, Wilfried Haensch
Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices. CoRR (2017)
Seyoung Kim, Tayfun Gokmen, Hyung-Min Lee, Wilfried E. Haensch
Analog CMOS-based resistive processing unit for deep neural network training. MWSCAS (2017)