Nicholas Jao

According to our database, Nicholas Jao authored at least 12 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Sparse Vector-Matrix Multiplication Acceleration in Diode-Selected Crossbars.

Nicholas Jao, Akshay Krishna Ramanathan, John Sampson, Vijaykrishnan Narayanan

IEEE Trans. Very Large Scale Integr. Syst., 2021

MaxTracker: Continuously Tracking the Maximum Computation Progress for Energy Harvesting ReRAM-based CNN Accelerators.

Keni Qiu, Nicholas Jao, Kunyu Zhou, Yongpan Liu, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan

ACM Trans. Embed. Comput. Syst., 2021

Hardware Functional Obfuscation With Ferroelectric Active Interconnects.

Tongguang Yu, Yixin Xu, Shan Deng, Zijian Zhao, Nicholas Jao, You Sung Kim, Stefan Dünkel, Sven Beyer, Kai Ni, Sumitha George, Vijaykrishnan Narayanan

CoRR, 2021

2020

FARM: A Flexible Accelerator for Recurrent and Memory Augmented Neural Networks.

Nagadastagiri Challapalle, Sahithi Rampalli, Nicholas Jao, Akshay Krishna Ramanathan, John Sampson, Vijaykrishnan Narayanan

J. Signal Process. Syst., 2020

Integrated CAM-RAM Functionality using Ferroelectric FETs.

Sumitha George, Nicholas Jao, Akshay Krishna Ramanathan, Xueqing Li, Sumeet Kumar Gupta, John Sampson, Vijaykrishnan Narayanan

Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs.

Sonali Singh, Anup Sarma, Nicholas Jao, Ashutosh Pattnaik, Sen Lu, Kezhou Yang, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

ResiRCA: A Resilient Energy Harvesting ReRAM Crossbar-Based Accelerator for Intelligent Embedded Processors.

Keni Qiu, Nicholas Jao, Mengying Zhao, Cyan Subhra Mishra, Gulsum Gudukbay, Sethu Jose, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

2019

Technology-Assisted Computing-In-Memory Design for Matrix Multiplication Workloads.

Nicholas Jao, Srivatsa Srivinasa, Akshay Krishna Ramanathan, Minhwan Kim, John Sampson, Vijaykrishnan Narayanan

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2019

Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations.

Nicholas Jao, Akshay Krishna Ramanathan, Abhronil Sengupta, John Sampson, Vijaykrishnan Narayanan

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Mixed Precision Quantization Scheme for Re-configurable ReRAM Crossbars Targeting Different Energy Harvesting Scenarios.

Md Fahim Faysal Khan, Nicholas Anton Jao, Changchi Shuai, Keni Qiu, Mehrdad Mahdavi, Vijaykrishnan Narayanan

Proceedings of the Internet of Things. A Confluence of Many Disciplines, 2019

2018

Harnessing Emerging Technology for Compute-in-Memory Support.

Nicholas Jao, Akshay Krishna Ramanathan, Srivatsa Rangachar Srinivasa, Sumitha George, John Sampson, Vijaykrishnan Narayanan

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

2016

Analysis of Functional Oxide based Selectors for Cross-Point Memories.

Ahmedullah Aziz, Nicholas Jao, Suman Datta, Sumeet Kumar Gupta

IEEE Trans. Circuits Syst. I Regul. Pap., 2016