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Nicholas Jao

Nicholas Anton Jao

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Journal Articles

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2021
[j4]
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  - journals/tecs/QiuJZLSKN21
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  - https://dblp.org/rec/journals/tecs/QiuJZLSKN21
Keni Qiu, Nicholas Jao, Kunyu Zhou, Yongpan Liu, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan:
MaxTracker: Continuously Tracking the Maximum Computation Progress for Energy Harvesting ReRAM-based CNN Accelerators. ACM Trans. Embed. Comput. Syst. 20(5s): 78:1-78:23 (2021)
[j3]
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Nicholas Jao, Akshay Krishna Ramanathan, John Sampson, Vijaykrishnan Narayanan:
Sparse Vector-Matrix Multiplication Acceleration in Diode-Selected Crossbars. IEEE Trans. Very Large Scale Integr. Syst. 29(12): 2186-2196 (2021)
2020
[j2]
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Nagadastagiri Challapalle, Sahithi Rampalli, Nicholas Jao, Akshay Krishna Ramanathan, John Sampson, Vijaykrishnan Narayanan:
FARM: A Flexible Accelerator for Recurrent and Memory Augmented Neural Networks. J. Signal Process. Syst. 92(11): 1247-1261 (2020)
2016
[j1]
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  - journals/tcas/AzizJDG16
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Ahmedullah Aziz, Nicholas Jao, Suman Datta, Sumeet Kumar Gupta:
Analysis of Functional Oxide based Selectors for Cross-Point Memories. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(12): 2222-2235 (2016)

Conference and Workshop Papers

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2020
[c7]
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  - conf/hpca/QiuJZMGJSKN20
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Keni Qiu, Nicholas Jao, Mengying Zhao, Cyan Subhra Mishra, Gulsum Gudukbay, Sethu Jose, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan:
ResiRCA: A Resilient Energy Harvesting ReRAM Crossbar-Based Accelerator for Intelligent Embedded Processors. HPCA 2020: 315-327
[c6]
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Sonali Singh, Anup Sarma, Nicholas Jao, Ashutosh Pattnaik, Sen Lu, Kezhou Yang, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das:
NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs. ISCA 2020: 363-376
[c5]
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  - conf/isqed/GeorgeJRLGSN20
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Sumitha George, Nicholas Jao, Akshay Krishna Ramanathan, Xueqing Li, Sumeet Kumar Gupta, John Sampson, Vijaykrishnan Narayanan:
Integrated CAM-RAM Functionality using Ferroelectric FETs. ISQED 2020: 81-86
2019
[c4]
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  - conf/ifipiot/KhanJSQMN19
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Md Fahim Faysal Khan, Nicholas Anton Jao, Changchi Shuai, Keni Qiu, Mehrdad Mahdavi, Vijaykrishnan Narayanan:
Mixed Precision Quantization Scheme for Re-configurable ReRAM Crossbars Targeting Different Energy Harvesting Scenarios. IFIPIoT 2019: 197-216
[c3]
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Nicholas Jao, Akshay Krishna Ramanathan, Abhronil Sengupta, John Sampson, Vijaykrishnan Narayanan:
Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations. ISCAS 2019: 1-5
[c2]
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  - conf/nanoarch/JaoSRKSN19
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Nicholas Jao, Srivatsa Srivinasa, Akshay Krishna Ramanathan, Minhwan Kim, John Sampson, Vijaykrishnan Narayanan:
Technology-Assisted Computing-In-Memory Design for Matrix Multiplication Workloads. NANOARCH 2019: 1-6
2018
[c1]
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Nicholas Jao, Akshay Krishna Ramanathan, Srivatsa Rangachar Srinivasa, Sumitha George, John Sampson, Vijaykrishnan Narayanan:
Harnessing Emerging Technology for Compute-in-Memory Support. ISVLSI 2018: 447-452

Informal and Other Publications

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2021
[i1]
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  - journals/corr/abs-2110-03855
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Tongguang Yu, Yixin Xu, Shan Deng, Zijian Zhao, Nicholas Jao, You Sung Kim, Stefan Dünkel, Sven Beyer, Kai Ni, Sumitha George, Vijaykrishnan Narayanan:
Hardware Functional Obfuscation With Ferroelectric Active Interconnects. CoRR abs/2110.03855 (2021)

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