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ORCIDSukru Burc Eryilmaz
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2020 – today
- 2024
[c4]Feiwen Zhu
, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch:
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours. DAC 2024: 265:1-265:6- [i8]Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch:
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours. CoRR abs/2404.11068 (2024) - 2023
- [j2]Sukru Burc Eryilmaz, Aysegul Dundar:
Understanding How Orthogonality of Parameters Improves Quantization of Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10737-10746 (2023) - [c3]Feiwen Zhu, Michal Futrega, Han Bao, Sukru Burc Eryilmaz, Fei Kong, Kefeng Duan, Xinnian Zheng, Nimrod Angel, Matthias Jouanneaux, Maxmilian Stadler, Michal Marcinkiewicz, Fung Xie, June Yang, Michael Andersch:
FastDimeNet++: Training DimeNet++ in 22 minutes. ICPP 2023: 274-284 - 2022
- [j1]Weier Wan, Rajkumar Kubendran, Clemens J. S. Schaefer, Sukru Burc Eryilmaz, Wenqiang Zhang, Dabin Wu, Stephen R. Deiss, Priyanka Raina, He Qian, Bin Gao, Siddharth Joshi, Huaqiang Wu, H.-S. Philip Wong, Gert Cauwenberghs:
A compute-in-memory chip based on resistive random-access memory. Nat. 608(7923): 504-512 (2022) - 2021
- [i7]Weier Wan, Rajkumar Kubendran, Clemens J. S. Schaefer, Sukru Burc Eryilmaz, Wenqiang Zhang, Dabin Wu, Stephen R. Deiss, Priyanka Raina, He Qian, Bin Gao, Siddharth Joshi, Huaqiang Wu, H.-S. Philip Wong, Gert Cauwenberghs:
Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory. CoRR abs/2108.07879 (2021) - 2020
- [c2]Weier Wan, Rajkumar Kubendran, Sukru Burc Eryilmaz, Wenqiang Zhang, Yan Liao, Dabin Wu, Stephen R. Deiss, Bin Gao, Priyanka Raina, Siddharth Joshi, Huaqiang Wu, Gert Cauwenberghs, H.-S. Philip Wong:
33.1 A 74 TMACS/W CMOS-RRAM Neurosynaptic Core with Dynamically Reconfigurable Dataflow and In-situ Transposable Weights for Probabilistic Graphical Models. ISSCC 2020: 498-500
2010 – 2019
- 2017
- [i6]Jesse H. Engel, Sukru Burc Eryilmaz, SangBum Kim, Matthew BrightSky, Chung Lam, Hsiang-Lan Lung, Bruno A. Olshausen, H.-S. Philip Wong:
Opportunities for Analog Coding in Emerging Memory Systems. CoRR abs/1701.06063 (2017) - 2016
- [c1]Sukru Burc Eryilmaz, Siddharth Joshi, Emre Neftci, Weier Wan, Gert Cauwenberghs, H.-S. Philip Wong:
Neuromorphic architectures with electronic synapses. ISQED 2016: 118-123 - [i5]Sukru Burc Eryilmaz, Emre Neftci, Siddharth Joshi, SangBum Kim, Matthew BrightSky, Hsiang-Lan Lung, Chung Lam, Gert Cauwenberghs, H.-S. Philip Wong:
Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses. CoRR abs/1609.08686 (2016) - 2015
- [i4]Sukru Burc Eryilmaz, Duygu Kuzum, Shimeng Yu, H.-S. Philip Wong:
Device and System Level Design Considerations for Analog-Non-Volatile-Memory Based Neuromorphic Architectures. CoRR abs/1512.08030 (2015) - 2014
- [i3]Sukru Burc Eryilmaz, Duygu Kuzum, Rakesh Gnana David Jeyasingh, SangBum Kim, Matthew BrightSky, Chung Lam, H.-S. Philip Wong:
Experimental Demonstration of Array-level Learning with Phase Change Synaptic Devices. CoRR abs/1405.7716 (2014) - [i2]Sercan Ö. Arik, Sukru Burc Eryilmaz, Adam Goldberg:
Supervised classification-based stock prediction and portfolio optimization. CoRR abs/1406.0824 (2014) - [i1]Sukru Burc Eryilmaz, Duygu Kuzum, Rakesh Gnana David Jeyasingh, SangBum Kim, Matthew BrightSky, Chung Lam, H.-S. Philip Wong:
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array. CoRR abs/1406.4951 (2014)
Coauthor Index
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