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ORCIDNathaniel C. Cady
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2020 – today
- 2024
[j12]Fan Zhang
, Amitesh Sridharan, Wangxin He, Injune Yeo, Maximilian Liehr, Wei Zhang, Nathaniel C. Cady, Yu Cao, Jae-Sun Seo, Deliang Fan:
A 65-nm RRAM Compute-in-Memory Macro for Genome Processing. IEEE J. Solid State Circuits 59(7): 2093-2104 (2024)- [c25]Jeelka Solanki, Jacob Pelton, Rocco Febbo, Maximilian Liehr, Andrew DeCandia, Karsten Beckmann, Garrett S. Rose, Nathaniel C. Cady:
In-Memory Computation Using CMOS-Integrated Resistive RAM for Robotic Navigation. ICONS 2024: 217-223 - [i4]Zachary R. Robinson, Karsten Beckmann, James Michels, Vincent Daviero, Elizabeth A. Street, Fiona Lorenzen, Matthew C. Sullivan, Nathaniel C. Cady, Alexander Kozen, Marc Currie:
Measurement of the Crystallization and Phase Transition of Niobium Dioxide Thin-Films for Neuromorphic Computing Applications Using a Tube Furnace Optical Transmission System. CoRR abs/2406.13523 (2024) - 2023
- [j11]Hritom Das, Rocco D. Febbo, Sree Nirmillo Biswash Tushar, Nishith N. Chakraborty, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose:
An Efficient and Accurate Memristive Memory for Array-Based Spiking Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 70(12): 4804-4815 (2023) - [c24]Fan Zhang, Wangxin He, Injune Yeo, Maximilian Liehr, Nathaniel C. Cady, Yu Cao, Jae-Sun Seo, Deliang Fan:
A 65nm RRAM Compute-in-Memory Macro for Genome Sequencing Alignment. ESSCIRC 2023: 117-120 - [c23]Hritom Das, Manu Rathore, Rocco Febbo, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose:
RFAM: RESET-Failure-Aware-Model for HfO2-based Memristor to Enhance the Reliability of Neuromorphic Design. ACM Great Lakes Symposium on VLSI 2023: 281-286 - [c22]Mehrdad Morsali, Sepehr Tabrizchi, Maximilian Liehr, Nathaniel C. Cady, Mohsen Imani, Arman Roohi, Shaahin Angizi:
Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator. ICRC 2023: 1-5 - [c21]Kangjun Bai, Daniel Titcombe, Jack Lombardi, Clare Thiem, Nathaniel C. Cady:
Moving Towards Game-Changing Technology: Fabrication and Application of HfO2 RRAM for In-Memory Computing. ISQED 2023: 1-7 - [i3]Hritom Das, Rocco D. Febbo, Sree Nirmillo Biswash Tushar, Nishith N. Chakraborty, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose:
An Efficient and Accurate Memristive Memory for Array-based Spiking Neural Networks. CoRR abs/2306.06551 (2023) - 2022
- [j10]Jack Hutchins, Shamiul Alam, Andre Zeumault, Karsten Beckmann, Nathaniel C. Cady, Garrett S. Rose, Ahmedullah Aziz:
A Generalized Workflow for Creating Machine Learning-Powered Compact Models for Multi-State Devices. IEEE Access 10: 115513-115519 (2022) - [j9]Gokul Krishnan, Li Yang, Jingbo Sun, Jubin Hazra, Xiaocong Du, Maximilian Liehr, Zheng Li, Karsten Beckmann, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Yu Cao:
Exploring Model Stability of Deep Neural Networks for Reliable RRAM-Based In-Memory Acceleration. IEEE Trans. Computers 71(11): 2740-2752 (2022) - [j8]Gokul Krishnan, Zhenyu Wang, Injune Yeo, Li Yang, Jian Meng, Maximilian Liehr, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Jae-Sun Seo, Yu Cao:
Hybrid RRAM/SRAM in-Memory Computing for Robust DNN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4241-4252 (2022) - [c20]Minhaz Abedin, Arman Roohi, Nathaniel C. Cady, Shaahin Angizi:
Work-in-Progress: A Processing-in-Pixel Accelerator based on Multi-level HfOx ReRAM. CASES 2022: 37-38 - [c19]Shamiul Alam, Md. Mazharul Islam, Akhilesh Jaiswal, Nathaniel C. Cady, Garrett S. Rose, Ahmedullah Aziz:
Variation-aware Design Space Exploration of Mott Memristor-based Neuristors. ISVLSI 2022: 68-73 - [c18]Manu Rathore, Ryan Weiss, Mst Shamim Ara Shawkat, Garrett S. Rose, Maximilian Liehr, Minhaz Abedin, Sarah Rafiq, Nathaniel C. Cady:
A Compact Model for the Variable Switching Dynamics of HfO2 Memristors. MWSCAS 2022: 1-4 - 2021
- [j7]Wilkie Olin-Ammentorp, Karsten Beckmann, Catherine D. Schuman, James S. Plank, Nathaniel C. Cady:
Stochasticity and robustness in spiking neural networks. Neurocomputing 419: 23-36 (2021) - [j6]Sarah Rafiq, Jubin Hazra, Maximilian Liehr, Karsten Beckmann, Minhaz Abedin, Jodh S. Pannu, Sumit Kumar Jha, Nathaniel C. Cady:
Investigation of ReRAM Variability on Flow-Based Edge Detection Computing Using HfO2-Based ReRAM Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. 68(7): 2900-2910 (2021) - [c17]Antony Joseph, Juan Wu, Kaiyan Yu, Lan Jiang, Nathaniel C. Cady, Bing Si:
Function-on-Function Regression for Trajectory Prediction of Small-Scale Particles towards Next-generation Neuromorphic Computing. CASE 2021: 1997-2002 - [c16]Haibo Gong, Rubab Ume, Vadim Tokranov, Michael Yakimov, Devendra Sadana, Kevin Brew, Guy Cohen, Sandra Schujman, Karsten Beckmann, Nathaniel C. Cady, Serge Oktyabrsky:
Bilayer Ga-Sb Phase Change Memory with Intermediate Resistance State. DRC 2021: 1-2 - [c15]Jubin Hazra, Maximilian Liehr, Karsten Beckmann, Minhaz Abedin, Sarah Rafiq, Nathaniel C. Cady:
Optimization of Switching Metrics for CMOS Integrated HfO2 based RRAM Devices on 300 mm Wafer Platform. IMW 2021: 1-4 - [c14]Gokul Krishnan, Jingbo Sun, Jubin Hazra, Xiaocong Du, Maximilian Liehr, Zheng Li, Karsten Beckmann, Rajiv V. Joshi, Nathaniel C. Cady, Yu Cao:
Robust RRAM-based In-Memory Computing in Light of Model Stability. IRPS 2021: 1-5 - [c13]Minhaz Abedin, Maximilian Liehr, Karsten Beckmann, Jubin Hazra, Sarah Rafiq, Nathaniel C. Cady:
In-memory Computation of Error-Correcting Codes Using a Reconfigurable HfOx ReRAM 1T1R Array. MWSCAS 2021: 593-598 - 2020
- [j5]Karsten Beckmann, Wilkie Olin-Ammentorp, Gangotree Chakma, Sherif Amer, Garrett S. Rose, Chris Hobbs, Joseph Van Nostrand, Martin Rodgers, Nathaniel C. Cady:
Towards Synaptic Behavior of Nanoscale ReRAM Devices for Neuromorphic Computing Applications. ACM J. Emerg. Technol. Comput. Syst. 16(2): 23:1-23:18 (2020) - [j4]Jodh S. Pannu, Sunny Raj, Steven Lawrence Fernandes, Dwaipayan Chakraborty, Sarah Rafiq, Nathaniel C. Cady, Sumit Kumar Jha:
Design and Fabrication of Flow-Based Edge Detection Memristor Crossbar Circuits1. IEEE Trans. Circuits Syst. II Express Briefs 67-II(5): 961-965 (2020) - [c12]Gouranga Charan, Jubin Hazra, Karsten Beckmann, Xiaocong Du, Gokul Krishnan, Rajiv V. Joshi, Nathaniel C. Cady, Yu Cao:
Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation. DAC 2020: 1-6
2010 – 2019
- 2019
- [c11]Maximilian Liehr, Jubin Hazra, Karsten Beckmann, Wilkie Olin-Ammentorp, Nathaniel C. Cady, Ryan Weiss, Sagarvarma Sayyaparaju, Garrett S. Rose, Joseph Van Nostrand:
Fabrication and Performance of Hybrid ReRAM-CMOS Circuit Elements for Dynamic Neural Networks. ICONS 2019: 6:1-6:4 - [c10]Wilkie Olin-Ammentorp, Nathaniel C. Cady:
Training Spiking Networks via Natural Evolution Strategies. ICONS 2019: 18:1-18:6 - [i2]Wilkie Olin-Ammentorp, Karsten Beckmann, Catherine D. Schuman, James S. Plank, Nathaniel C. Cady:
Stochasticity and Robustness in Spiking Neural Networks. CoRR abs/1906.02796 (2019) - [i1]Wilkie Olin-Ammentorp, Karsten Beckmann, Nathaniel C. Cady:
Cellular Memristive-Output Reservoir (CMOR). CoRR abs/1906.06414 (2019) - 2018
- [j3]Mesbah Uddin, Md. Badruddoja Majumder, Karsten Beckmann, Harika Manem, Zahiruddin Alamgir, Nathaniel C. Cady, Garrett S. Rose:
Design Considerations for Memristive Crossbar Physical Unclonable Functions. ACM J. Emerg. Technol. Comput. Syst. 14(1): 2:1-2:23 (2018) - 2017
- [j2]Karsten Beckmann, Harika Manem, Nathaniel C. Cady:
Performance Enhancement of a Time-Delay PUF Design by Utilizing Integrated Nanoscale ReRAM Devices. IEEE Trans. Emerg. Top. Comput. 5(3): 304-316 (2017) - [c9]James S. Plank, Garrett S. Rose, Mark E. Dean, Catherine D. Schuman, Nathaniel C. Cady:
A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications. ICRC 2017: 1-8 - [c8]Sherif Amer, Sagarvarma Sayyaparaju, Garrett S. Rose, Karsten Beckmann, Nathaniel C. Cady:
A practical hafnium-oxide memristor model suitable for circuit design and simulation. ISCAS 2017: 1-4 - [c7]Sherif Amer, Garrett S. Rose, Karsten Beckmann, Nathaniel C. Cady:
Design techniques for in-field memristor forming circuits. MWSCAS 2017: 1224-1227 - 2016
- [c6]John F. Drazan, Michael T. Wassick, Reena Dahle, Luke A. Beardslee, Nathaniel C. Cady, Eric H. Ledet:
A simple sensing mechanism for wireless, passive pressure sensors. EMBC 2016: 1890-1893 - [c5]John F. Drazan, Omar T. Abdoun, Michael T. Wassick, George A. Marcus, Reena Dahle, Luke A. Beardslee, Nathaniel C. Cady, Eric H. Ledet:
Reducing the effect of parasitic capacitance on implantable passive resonant sensors. EMBC 2016: 1930-1933 - [c4]Zahiruddin Alamgir, Karsten Beckmann, Nathaniel C. Cady, Alvaro Velasquez, Sumit Kumar Jha:
Flow-based computing on nanoscale crossbars: Design and implementation of full adders. ISCAS 2016: 1870-1873 - [c3]Mesbah Uddin, Md. Badruddoja Majumder, Garrett S. Rose, Karsten Beckmann, Harika Manem, Zahiruddin Alamgir, Nathaniel C. Cady:
Techniques for Improved Reliability in Memristive Crossbar PUF Circuits. ISVLSI 2016: 212-217 - 2015
- [c2]Harika Manem, Karsten Beckmann, Min Xu, Robert Carroll, Robert E. Geer, Nathaniel C. Cady:
An extendable multi-purpose 3D neuromorphic fabric using nanoscale memristors. CISDA 2015: 1-8 - 2010
- [c1]Nathaniel C. Cady, Magnus Bergkvist, Nicholas M. Fahrenkopf, Phillip Z. Rice, Joseph Van Nostrand:
Biologically self-assembled memristive circuit elements. ISCAS 2010: 1959-1962
2000 – 2009
- 2009
- [j1]Clarissa Lui, Nathaniel C. Cady, Carl A. Batt:
Nucleic Acid-based Detection of Bacterial Pathogens Using Integrated Microfluidic Platform Systems. Sensors 9(5): 3713-3744 (2009)
Coauthor Index
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