Vishnu P. Nambiar
Orcid: 0000-0001-5570-5911
According to our database1,
Vishnu P. Nambiar
authored at least 30 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
A 360 GOPS/W CGRA in a RISC-V SoC with Multi-Hop Routers and Idle-State Instructions for Edge Computing Applications.
Proceedings of the 21st International SoC Design Conference, 2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
PACE: A Scalable and Energy Efficient CGRA in a RISC-V SoC for Edge Computing Applications.
Proceedings of the 36th IEEE Hot Chips Symposium, 2024
2022
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Recovering Accuracy of RRAM-based CIM for Binarized Neural Network via Chip-in-the-loop Training.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
0.08mm<sup>2</sup> 128nW MFCC Engine for Ultra-low Power, Always-on Smart Sensing Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
2021
A Low Power and Low Area Router With Congestion-Aware Routing Algorithm for Spiking Neural Network Hardware Implementations.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
IEEE Trans. Circuits Syst. II Express Briefs, 2021
IEEE Trans. Circuits Syst. II Express Briefs, 2021
A 5.28-mm² 4.5-pJ/SOP Energy-Efficient Spiking Neural Network Hardware With Reconfigurable High Processing Speed Neuron Core and Congestion-Aware Router.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
Proceedings of the 29th IFIP/IEEE International Conference on Very Large Scale Integration, 2021
An Energy-Efficient Convolution Unit for Depthwise Separable Convolutional Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
A 2.1 pJ/SOP 40nm SNN Accelerator Featuring On-chip Transfer Learning using Delta STDP.
Proceedings of the 51st IEEE European Solid-State Device Research Conference, 2021
2020
Scalable Block-Based Spiking Neural Network Hardware with a Multiplierless Neuron Model.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
0.5V 4.8 pJ/SOP 0.93µW Leakage/core Neuromorphic Processor with Asynchronous NoC and Reconfigurable LIF Neuron.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2020
2019
Ower and Area Efficient Router with Automated Clock Gating for Neuromorphic Computing.
Proceedings of the 32nd IEEE International System-on-Chip Conference, 2019
Proceedings of the 32nd IEEE International System-on-Chip Conference, 2019
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
2017
A real-time near infrared image acquisition system based on image quality assessment.
J. Real Time Image Process., 2017
2014
Hardware implementation of evolvable block-based neural networks utilizing a cost efficient sigmoid-like activation function.
Neurocomputing, 2014
Optimization of structure and system latency in evolvable block-based neural networks using genetic algorithm.
Neurocomputing, 2014
2013
HW/SW co-design of reconfigurable hardware-based genetic algorithm in FPGAs applicable to a variety of problems.
Computing, 2013
Co-simulation methodology for improved design and verification of hardware neural networks.
Proceedings of the IECON 2013, 2013
2012
GA-based parameter tuning in finger-vein biometric embedded systems for information security.
Proceedings of the 2012 1st IEEE International Conference on Communications in China (ICCC), 2012
2009
Int. J. Inf. Commun. Technol., 2009