Sukru Burc Eryilmaz

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H.-S. Philip WongProfessor of Electrical Engineering, Stanford UniversityDirección de correo verificada de stanford.edu
Bin GaoTsinghua UniversityDirección de correo verificada de pku.edu.cn
Huaqiang WuTsinghua University, Cornell UniversityDirección de correo verificada de tsinghua.edu.cn
Wenqiang ZhangPhD student of the Institute of Microelectronics, Tsinghua UniversityDirección de correo verificada de mails.tsinghua.edu.cn
Gert CauwenberghsProfessor of Bioengineering and Co-Director, Institute for Neural Computation, UC San DiegoDirección de correo verificada de ucsd.edu
Siddharth JoshiAssistant Professor at University of Notre Dame, Dept. of Comp. Science and Eng. and Dept. ofDirección de correo verificada de nd.edu
Sangbum KimMaterials Science and Engineering, Seoul National UniversityDirección de correo verificada de snu.ac.kr
Duygu KuzumJoan and Irwin Jacobs and Kavli Foundation Endowed Faculty, ECE, University of California, San DiegoDirección de correo verificada de ucsd.edu
RakeshGnana David JeyasinghStanford UniversityDirección de correo verificada de stanford.edu
Haitong LiAssistant Professor of ECE, Purdue UniversityDirección de correo verificada de purdue.edu
Tsung-Ta WuResearch Scholar, Stanford UniversityDirección de correo verificada de stanford.edu
Emre NeftciInstitute Director, Forschungszentrum Jülich; Professor, RWTH AachenDirección de correo verificada de fz-juelich.de
Jesse H. EngelGoogle DeepMindDirección de correo verificada de google.com
Bruno OlshausenProfessor, UC BerkeleyDirección de correo verificada de berkeley.edu
Scott W. FongStanford UniversityDirección de correo verificada de stanford.edu
Ethan C. Ahn, Ph.D.Faculty of Electrical Engineering at George Mason UniversityDirección de correo verificada de gmu.edu
Tony WuMeta, Inc.Dirección de correo verificada de meta.com
Abbas RahimiResearch Staff Member, IBM Research-ZurichDirección de correo verificada de zurich.ibm.com
Jan RabaeyProfessor of EECS, University of California at BerkeleyDirección de correo verificada de berkeley.edu
Mohamed M. Sabry AlyAssociate Professor, Nanyang Technological UniversityDirección de correo verificada de ntu.edu.sg

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Sukru Burc Eryilmaz

Otros nombresBurc Eryilmaz

Electrical Engineering, Stanford University

Dirección de correo verificada de stanford.edu

Neuromorphic computing emerging memories machine learning algorithms machine learning hardware


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Face classification using electronic synapses P Yao, H Wu, B Gao, SB Eryilmaz, X Huang, W Zhang, Q Zhang, N Deng, ... Nature communications 8 (1), 15199, 2017	844	2017
A compute-in-memory chip based on resistive random-access memory W Wan, R Kubendran, C Schaefer, SB Eryilmaz, W Zhang, D Wu, S Deiss, ... Nature 608 (7923), 504-512, 2022	318	2022
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array SB Eryilmaz, D Kuzum, R Jeyasingh, SB Kim, M BrightSky, C Lam, ... Frontiers in neuroscience 8, 205, 2014	226	2014
Hyperdimensional computing with 3D VRRAM in-memory kernels: Device-architecture co-design for energy-efficient, error-resilient language recognition H Li, TF Wu, A Rahimi, KS Li, M Rusch, CH Lin, JL Hsu, MM Sabry, ... 2016 IEEE International Electron Devices Meeting (IEDM), 16.1. 1-16.1. 4, 2016	139	2016
33.1 A 74 TMACS/W CMOS-RRAM neurosynaptic core with dynamically reconfigurable dataflow and in-situ transposable weights for probabilistic graphical models W Wan, R Kubendran, SB Eryilmaz, W Zhang, Y Liao, D Wu, S Deiss, ... 2020 IEEE International Solid-State Circuits Conference-(ISSCC), 498-500, 2020	118	2020
Device and System Level Design Considerations for Analog-Non-Volatile-Memory Based Neuromorphic Architectures SB Eryilmaz, D Kuzum, S Yu, HSP Wong 2015 IEEE International Electron Devices Meeting, 4.1.1-4, 2015	103	2015
Four-layer 3D vertical RRAM integrated with FinFET as a versatile computing unit for brain-inspired cognitive information processing H Li, KS Li, CH Lin, JL Hsu, WC Chiu, MC Chen, TT Wu, J Sohn, ... 2016 IEEE Symposium on VLSI Technology, 1-2, 2016	79	2016
Stanford memory trends HSP Wong, C Ahn, J Cao, HY Chen, SW Fong, Z Jiang, C Neumann, ... tech. report, 2016	58	2016
Experimental demonstration of array-level learning with phase change synaptic devices SB Eryilmaz, D Kuzum, RGD Jeyasingh, SB Kim, M BrightSky, C Lam, ... 2013 IEEE International Electron Devices Meeting, 25.5. 1-25.5. 4, 2013	58	2013
Training a probabilistic graphical model with resistive switching electronic synapses SB Eryilmaz, E Neftci, S Joshi, SB Kim, M BrightSky, HL Lung, C Lam, ... IEEE Transactions on Electron Devices 63 (12), 5004-5011, 2016	49	2016
Neuromorphic architectures with electronic synapses SB Eryilmaz, S Joshi, E Neftci, W Wan, G Cauwenberghs, HSP Wong 2016 17th International Symposium on Quality Electronic Design (ISQED), 118-123, 2016	40	2016
Plasmonic nanoslit array enhanced metal–semiconductor–metal optical detectors SB Eryilmaz, O Tidin, AK Okyay IEEE Photonics Technology Letters 24 (7), 548-550, 2012	12	2012
Analog coding in emerging memory systems RV Zarcone, JH Engel, S Burc Eryilmaz, W Wan, SB Kim, M BrightSky, ... Scientific reports 10 (1), 6831, 2020	10	2020
Edge AI without compromise: efficient, versatile and accurate neurocomputing in resistive random-access memory W Wan, R Kubendran, C Schaefer, SB Eryilmaz, W Zhang, D Wu, S Deiss, ... arXiv preprint arXiv:2108.07879, 2021	9	2021
Thermal characterization of nanostructured superlattices of TiN/TaN: Applications as electrodes in Phase Change Memory A Sood, SB Eryilmaz, R Jeyasingh, J Cho, M Asheghi, HSP Wong, ... Fourteenth Intersociety Conference on Thermal and Thermomechanical Phenomena …, 2014	9	2014
IEEE Symp. VLSI Technol H Li, KS Li, CH Lin, JL Hsu, WC Chiu, MC Chen, TT Wu, J Sohn, ... IEEE, Piscataway, NJ, 1-2, 2016	8	2016
Capacity optimization of emerging memory systems: A shannon-inspired approach to device characterization JH Engel, SB Eryilmaz, SB Kim, M BrightSky, C Lam, HL Lung, ... 2014 IEEE International Electron Devices Meeting, 29.4. 1-29.4. 4, 2014	8	2014
Supervised classification-based stock prediction and portfolio optimization S Arik, SB Eryilmaz, A Goldberg arXiv preprint arXiv:1406.0824, 2014	7	2014
Phase change memory R Jeyasingh, EC Ahn, SB Eryilmaz, S Fong, HSP Wong Emerging Nanoelectronic Devices, 78-109, 2014	6	2014
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array. Front Neurosci-Switz SB Eryilmaz, D Kuzum, R Jeyasingh, S Kim, M BrightSky, C Lam, ...	6	2014

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