Wilfried Haensch

According to our database, Wilfried Haensch authored at least 31 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

LRMP: Layer Replication with Mixed Precision for spatial in-memory DNN accelerators.

Abinand Nallathambi, Christin David Bose, Wilfried Haensch, Anand Raghunathan

Frontiers Artif. Intell., 2024

Error-Free and Current-Driven Synthetic Antiferromagnetic Domain Wall Memory Enabled by Channel Meandering.

Pengxiang Zhang, Wilfried Haensch, Charudatta M. Phatak, Supratik Guha

CoRR, 2024

Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation.

Vassilis Kalantzis, Mark S. Squillante, Shashanka Ubaru, Tayfun Gokmen, Chai Wah Wu, Anshul Gupta, Haim Avron, Tomasz Nowicki, Malte J. Rasch, O. Murat Onen, Vanessa López-Marrero, Effendi Leobandung, Yasuteru Kohda, Wilfried Haensch, Lior Horesh

CoRR, 2024

2022

Neural Network Training With Asymmetric Crosspoint Elements.

O. Murat Onen, Tayfun Gokmen, Teodor K. Todorov, Tomasz Nowicki, Jesús A. del Alamo, John Rozen, Wilfried Haensch, Seyoung Kim

Frontiers Artif. Intell., 2022

A Co-design view of Compute in-Memory with Non-Volatile Elements for Neural Networks.

Wilfried Haensch, Anand Raghunathan, Kaushik Roy, Bhaswar Chakrabarti, Charudatta M. Phatak, Cheng Wang, Supratik Guha

CoRR, 2022

2021

Analysis of Effect of Weight Variation on SNN Chip with PCM-Refresh Method.

Akiyo Nomura, Megumi Ito, Atsuya Okazaki, Masatoshi Ishii, SangBum Kim, Junka Okazawa, Kohji Hosokawa, Wilfried Haensch

Neural Process. Lett., 2021

2020

Training Large-scale Artificial Neural Networks on Simulated Resistive Crossbar Arrays.

Malte J. Rasch, Tayfun Gokmen, Wilfried Haensch

IEEE Des. Test, 2020

2019

The Next Generation of Deep Learning Hardware: Analog Computing.

Wilfried Haensch, Tayfun Gokmen, Ruchir Puri

Proc. IEEE, 2019

Neural network accelerator design with resistive crossbars: Opportunities and challenges.

Shubham Jain, Aayush Ankit, Indranil Chakraborty, Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch, Kaushik Roy, Anand Raghunathan

IBM J. Res. Dev., 2019

Algorithm for Training Neural Networks on Resistive Device Arrays.

Tayfun Gokmen, Wilfried Haensch

CoRR, 2019

Training large-scale ANNs on simulated resistive crossbar arrays.

Malte J. Rasch, Tayfun Gokmen, Wilfried Haensch

CoRR, 2019

Reliability Challenges with Materials for Analog Computing.

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

Proceedings of the IEEE International Reliability Physics Symposium, 2019

Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation.

Megumi Ito, Malte J. Rasch, Masatoshi Ishii, Atsuya Okazaki, SangBum Kim, Junka Okazawa, Akiyo Nomura, Kohji Hosokawa, Wilfried Haensch

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Performance Analysis of Spiking RBM with Measurement-Based Phase Change Memory Model.

Masatoshi Ishii, Megumi Ito, Wanki Kim, SangBum Kim, Akiyo Nomura, Atsuya Okazaki, Junka Okazawa, Kohji Hosokawa, Matthew BrightSky, Wilfried Haensch

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Efficient ConvNets for Analog Arrays.

Malte J. Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch

CoRR, 2018

Training LSTM Networks with Resistive Cross-Point Devices.

Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch

CoRR, 2018

NVM Weight Variation Impact on Analog Spiking Neural Network Chip.

Akiyo Nomura, Megumi Ito, Atsuya Okazaki, Masatoshi Ishii, SangBum Kim, Junka Okazawa, Kohji Hosokawa, Wilfried Haensch

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices.

Tayfun Gokmen, O. Murat Onen, Wilfried Haensch

CoRR, 2017

Analog CMOS-based resistive processing unit for deep neural network training.

Seyoung Kim, Tayfun Gokmen, Hyung-Min Lee, Wilfried E. Haensch

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Monolithic Silicon Photonic WDM Transceivers.

Jessie C. Rosenberg, Folkert Horst, Marwan Khater, Frederick G. Anderson, Robert Leidy, Tymon Barwicz, Douglas M. Gill, Edward Kiewra, Yves Martin, Jason S. Orcutt, Andreas D. Stricker, Charles Whiting, Kate McLean, Bruce Porth, Chi Xiong, Natalie B. Feilchenfeld, Ken Giewont, Karen Nummy, Bert J. Offrein, Wilfried Haensch, William M. J. Green

Proceedings of the European Conference on Optical Communication, 2017

2016

Monolithic silicon photonics at 25 Gb/s.

Jason S. Orcutt, Douglas M. Gill, Jonathan E. Proesel, John J. Ellis-Monaghan, Folkert Horst, Tymon Barwicz, Chi Xiong, Frederick G. Anderson, Ankur Agrawal, Yves Martin, Christian W. Baks, Marwan Khater, Jessie C. Rosenberg, W. D. Sacher, Jens Hofrichter, Edward Kiewra, Andreas D. Stricker, Frank Libsch, Bert Jan Offrein, Mounir Meghelli, Natalie B. Feilchenfeld, Wilfried Haensch, William M. J. Green

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016

2012

Near-threshold operation for power-efficient computing?: it depends...

Leland Chang, Wilfried Haensch

Proceedings of the 49th Annual Design Automation Conference 2012, 2012

2010

Practical Strategies for Power-Efficient Computing Technologies.

Leland Chang, David J. Frank, Robert K. Montoye, Steven J. Koester, Brian L. Ji, Paul W. Coteus, Robert H. Dennard, Wilfried Haensch

Proc. IEEE, 2010

2008

An 8T-SRAM for Variability Tolerance and Low-Voltage Operation in High-Performance Caches.

Leland Chang, Robert K. Montoye, Yutaka Nakamura, Kevin Batson, Richard J. Eickemeyer, Robert H. Dennard, Wilfried Haensch, Damir Jamsek

IEEE J. Solid State Circuits, 2008

Why should we do 3D integration?

Wilfried Haensch

Proceedings of the 45th Design Automation Conference, 2008

2007

Interconnects in the Third Dimension: Design Challenges for 3D ICs.

Kerry Bernstein, Paul S. Andry, Jerome Cann, Philip G. Emma, David Greenberg, Wilfried Haensch, Mike Ignatowski, Steven J. Koester, John Magerlein, Ruchir Puri, Albert M. Young

Proceedings of the 44th Design Automation Conference, 2007

2006

Ultralow-voltage, minimum-energy CMOS.

Scott Hanson, Bo Zhai, Kerry Bernstein, David T. Blaauw, Andres Bryant, Leland Chang, Koushik K. Das, Wilfried Haensch, Edward J. Nowak, Dennis Sylvester

IBM J. Res. Dev., 2006

Silicon CMOS devices beyond scaling.

Wilfried Haensch, Edward J. Nowak, Robert H. Dennard, Paul M. Solomon, Andres Bryant, Omer H. Dokumaci, Arvind Kumar, Xinlin Wang, Jeffrey B. Johnson, Massimo V. Fischetti

IBM J. Res. Dev., 2006

Preface.

Wilfried Haensch, Mei-Kei Ieong

IBM J. Res. Dev., 2006

Optimizing CMOS technology for maximum performance.

David J. Frank, Wilfried Haensch, Ghavam G. Shahidi, Omer H. Dokumaci

IBM J. Res. Dev., 2006

High-performance CMOS variability in the 65-nm regime and beyond.

Kerry Bernstein, David J. Frank, Anne E. Gattiker, Wilfried Haensch, Brian L. Ji, Sani R. Nassif, Edward J. Nowak, Dale J. Pearson, Norman J. Rohrer

IBM J. Res. Dev., 2006