Rocco D. Febbo

According to our database, Rocco D. Febbo authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

In-Memory Computation Using CMOS-Integrated Resistive RAM for Robotic Navigation.

Jeelka Solanki, Jacob Pelton, Rocco Febbo, Maximilian Liehr, Andrew DeCandia, Karsten Beckmann, Garrett S. Rose, Nathaniel C. Cady

Proceedings of the International Conference on Neuromorphic Systems, 2024

2023

An Efficient and Accurate Memristive Memory for Array-Based Spiking Neural Networks.

Hritom Das, Rocco D. Febbo, Sree Nirmillo Biswash Tushar, Nishith N. Chakraborty, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose

IEEE Trans. Circuits Syst. I Regul. Pap., December, 2023

Optimizations for a Current-Controlled Memristor- Based Neuromorphic Synapse Design.

Hritom Das, Rocco D. Febbo, Charles P. Rizzo, Nishith N. Chakraborty, James S. Plank, Garrett S. Rose

IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

A Single Chip SPAD Based Vision Sensing System With Integrated Memristive Spiking Neuromorphic Processing.

Mst Shamim Ara Shawkat, Md Musabbir Adnan, Rocco D. Febbo, John J. Murray, Garrett S. Rose

IEEE Access, 2023

Reliability Analysis of Memristive Reservoir Computing Architecture.

Manu Rathore, Rocco D. Febbo, Adam Z. Foshie, Sree Nirmillo Biswash Tushar, Hritom Das, Garrett S. Rose

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

RFAM: RESET-Failure-Aware-Model for HfO2-based Memristor to Enhance the Reliability of Neuromorphic Design.

Hritom Das, Manu Rathore, Rocco Febbo, Maximilian Liehr, Nathaniel C. Cady, Garrett S. Rose

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2022

On-Chip Interface for Event based Sensor and Spiking Neuromorphic Processing.

Md Musabbir Adnan, Mst Shamim Ara Shawkat, Rocco D. Febbo, Garrett S. Rose

Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022

2020

Autonomous Vehicle Control Using a Deep Neural Network and Jetson Nano.

Rocco Febbo, Brendan Flood, Julian Halloy, Patrick Lau, Kwai Wong, Alan Ayala

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Integrating Deep Learning in Domain Sciences at Exascale.

Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020