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ORCIDWilfried Haensch
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2020 – today
- 2024
[i11]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:
Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation. CoRR abs/2401.13754 (2024)- [i10]Pengxiang Zhang, Wilfried Haensch, Charudatta M. Phatak, Supratik Guha:
Error-Free and Current-Driven Synthetic Antiferromagnetic Domain Wall Memory Enabled by Channel Meandering. CoRR abs/2405.18261 (2024) - 2023
- [i9]Abinand Nallathambi, Christin David Bose, Wilfried Haensch, Anand Raghunathan:
LRMP: Layer Replication with Mixed Precision for Spatial In-memory DNN Accelerators. CoRR abs/2312.03146 (2023) - 2022
- [j12]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: 891624 (2022) - [i8]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 abs/2201.13377 (2022) - [i7]Wilfried Haensch, Anand Raghunathan, Kaushik Roy, Bhaswar Chakrabarti, Charudatta M. Phatak, Cheng Wang, Supratik Guha:
A Co-design view of Compute in-Memory with Non-Volatile Elements for Neural Networks. CoRR abs/2206.08735 (2022) - 2021
- [j11]Akiyo Nomura, Megumi Ito, Atsuya Okazaki, Masatoshi Ishii, SangBum Kim, Junka Okazawa, Kohji Hosokawa, Wilfried Haensch:
Analysis of Effect of Weight Variation on SNN Chip with PCM-Refresh Method. Neural Process. Lett. 53(3): 1741-1751 (2021) - 2020
- [j10]Malte J. Rasch, Tayfun Gokmen, Wilfried Haensch:
Training Large-scale Artificial Neural Networks on Simulated Resistive Crossbar Arrays. IEEE Des. Test 37(2): 19-29 (2020)
2010 – 2019
- 2019
- [j9]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): 10:1-10:13 (2019) - [j8]Wilfried Haensch, Tayfun Gokmen, Ruchir Puri:
The Next Generation of Deep Learning Hardware: Analog Computing. Proc. IEEE 107(1): 108-122 (2019) - [c10]Megumi Ito, Malte J. Rasch, Masatoshi Ishii, Atsuya Okazaki, SangBum Kim, Junka Okazawa, Akiyo Nomura, Kohji Hosokawa, Wilfried Haensch:
Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation. ICONIP (3) 2019: 185-194 - [c9]Masatoshi Ishii, Megumi Ito, Wanki Kim, SangBum Kim, Akiyo Nomura, Atsuya Okazaki, Junka Okazawa, Kohji Hosokawa, Matthew BrightSky, Wilfried Haensch:
Performance Analysis of Spiking RBM with Measurement-Based Phase Change Memory Model. ICONIP (5) 2019: 591-599 - [c8]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: 1-10 - [i6]Malte J. Rasch, Tayfun Gokmen, Wilfried Haensch:
Training large-scale ANNs on simulated resistive crossbar arrays. CoRR abs/1906.02698 (2019) - [i5]Tayfun Gokmen, Wilfried Haensch:
Algorithm for Training Neural Networks on Resistive Device Arrays. CoRR abs/1909.07908 (2019) - 2018
- [c7]Akiyo Nomura, Megumi Ito, Atsuya Okazaki, Masatoshi Ishii, SangBum Kim, Junka Okazawa, Kohji Hosokawa, Wilfried Haensch:
NVM Weight Variation Impact on Analog Spiking Neural Network Chip. ICONIP (7) 2018: 676-685 - [i4]Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch:
Training LSTM Networks with Resistive Cross-Point Devices. CoRR abs/1806.00166 (2018) - [i3]Malte J. Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch:
Efficient ConvNets for Analog Arrays. CoRR abs/1807.01356 (2018) - 2017
- [c6]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:
Monolithic Silicon Photonic WDM Transceivers. ECOC 2017: 1-3 - [c5]Seyoung Kim, Tayfun Gokmen, Hyung-Min Lee, Wilfried E. Haensch:
Analog CMOS-based resistive processing unit for deep neural network training. MWSCAS 2017: 422-425 - [i2]Tayfun Gokmen, O. Murat Onen, Wilfried Haensch:
Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices. CoRR abs/1705.08014 (2017) - [i1]Seyoung Kim, Tayfun Gokmen, Hyung-Min Lee, Wilfried E. Haensch:
Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training. CoRR abs/1706.06620 (2017) - 2016
- [c4]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:
Monolithic silicon photonics at 25 Gb/s. OFC 2016: 1-3 - 2012
- [c3]Leland Chang, Wilfried Haensch:
Near-threshold operation for power-efficient computing?: it depends... DAC 2012: 1159-1163 - 2010
- [j7]Leland Chang, David J. Frank, Robert K. Montoye, Steven J. Koester, Brian L. Ji, Paul W. Coteus, Robert H. Dennard, Wilfried Haensch:
Practical Strategies for Power-Efficient Computing Technologies. Proc. IEEE 98(2): 215-236 (2010)
2000 – 2009
- 2008
- [j6]Leland Chang, Robert K. Montoye, Yutaka Nakamura, Kevin Batson, Richard J. Eickemeyer, Robert H. Dennard, Wilfried Haensch, Damir Jamsek:
An 8T-SRAM for Variability Tolerance and Low-Voltage Operation in High-Performance Caches. IEEE J. Solid State Circuits 43(4): 956-963 (2008) - [c2]Wilfried Haensch:
Why should we do 3D integration? DAC 2008: 674-675 - 2007
- [c1]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:
Interconnects in the Third Dimension: Design Challenges for 3D ICs. DAC 2007: 562-567 - 2006
- [j5]Wilfried Haensch, Mei-Kei Ieong:
Preface. IBM J. Res. Dev. 50(4-5): 337-338 (2006) - [j4]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:
Silicon CMOS devices beyond scaling. IBM J. Res. Dev. 50(4-5): 339-362 (2006) - [j3]David J. Frank, Wilfried Haensch, Ghavam G. Shahidi, Omer H. Dokumaci:
Optimizing CMOS technology for maximum performance. IBM J. Res. Dev. 50(4-5): 419-432 (2006) - [j2]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:
High-performance CMOS variability in the 65-nm regime and beyond. IBM J. Res. Dev. 50(4-5): 433-450 (2006) - [j1]Scott Hanson, Bo Zhai, Kerry Bernstein, David T. Blaauw, Andres Bryant, Leland Chang, Koushik K. Das, Wilfried Haensch, Edward J. Nowak, Dennis Sylvester:
Ultralow-voltage, minimum-energy CMOS. IBM J. Res. Dev. 50(4-5): 469-490 (2006)
Coauthor Index
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