Nicholas Jao

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 11

Top Topics

Feedforward Artificial Neural Networks

Embedded Processors

Top Venues

ACM Trans. Embed. Comput. Syst.

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

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 (2021)
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) (2021)
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) (2021)
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) (2020)
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)
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)
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)
Nicholas Jao, Akshay Krishna Ramanathan, Abhronil Sengupta, John Sampson, Vijaykrishnan Narayanan
Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations. ISCAS (2019)
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)
Nicholas Jao, Akshay Krishna Ramanathan, Srivatsa Rangachar Srinivasa, Sumitha George, John Sampson, Vijaykrishnan Narayanan
Harnessing Emerging Technology for Compute-in-Memory Support. ISVLSI (2018)
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. (12) (2016)