Ramachandran Muralidhar

According to our database, Ramachandran Muralidhar authored at least 11 papers between 2015 and 2023.

Collaborative distances:

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

2023

A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh.

Shubham Jain, Hsinyu Tsai, Ching-Tzu Chen, Ramachandran Muralidhar, Irem Boybat, Martin M. Frank, Stanislaw Wozniak, Milos Stanisavljevic, Praneet Adusumilli, Pritish Narayanan, Kohji Hosokawa, Masatoshi Ishii, Arvind Kumar, Vijay Narayanan, Geoffrey W. Burr

IEEE Trans. Very Large Scale Integr. Syst., 2023

Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited).

Hsinyu Tsai, Pritish Narayanan, Shubham Jain, Stefano Ambrogio, Kohji Hosokawa, Masatoshi Ishii, Charles Mackin, Ching-Tzu Chen, Atsuya Okazaki, Akiyo Nomura, Irem Boybat, Ramachandran Muralidhar, Martin M. Frank, Takeo Yasuda, Alexander M. Friz, Yasuteru Kohda, An Chen, Andrea Fasoli, Malte J. Rasch, Stanislaw Wozniak, Jose Luquin, Vijay Narayanan, Geoffrey W. Burr

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited).

Martin M. Frank, Ning Li, Malte J. Rasch, Shubham Jain, Ching-Tzu Chen, Ramachandran Muralidhar, Jin-Ping Han, Vijay Narayanan, Timothy Philip, Kevin Brew, Andrew Simon, Iqbal Saraf, Nicole Saulnier, Irem Boybat, Stanislaw Wozniak, Abu Sebastian, Pritish Narayanan, Charles Mackin, An Chen, Hsinyu Tsai, Geoffrey W. Burr

Proceedings of the IEEE International Reliability Physics Symposium, 2023

AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing.

Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smaïl Niar, Hamza Ouarnoughi, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

2022

Source Localization and Bayesian leak magnitude inference of sparse wireless sensor data to detect fugitive methane leak.

Siddesh Nageswaran, Ramachandran Muralidhar, Theodore G. van Kessel, Levente J. Klein

Proceedings of the IEEE International Conference on Big Data, 2022

2020

Satellite Guided Mobile Wireless Methane Detection for Oil and Gas Operations.

Theodore G. van Kessel, Levente J. Klein, Ramachandran Muralidhar, Eric J. Zhang, Hendrik F. Hamann

Proceedings of the 6th IEEE World Forum on Internet of Things, 2020

2019

Field Deployment of a Portable Optical Spectrometer for Methane Fugitive Emissions Monitoring on Oil and Gas Well Pads.

Eric J. Zhang, Chu C. Teng, Theodore G. van Kessel, Levente J. Klein, Ramachandran Muralidhar, Gerard Wysocki, William M. J. Green

Sensors, 2019

2018

Methane Leak Detection and Localization Using Wireless Sensor Networks for Remote Oil and Gas Operations.

Theodore G. van Kessel, Ramachandran Muralidhar, Levente J. Klein, Dhruv Nair, Nigel Hinds, Hendrik F. Hamann, Norma E. Sosa

Proceedings of the 2018 IEEE SENSORS, New Delhi, India, October 28-31, 2018, 2018

2017

Distributed wireless sensing for fugitive methane leak detection.

Levente J. Klein, Theodore G. van Kessel, Dhruv Nair, Ramachandran Muralidhar, Nigel Hinds, Hendrik F. Hamann, Norma E. Sosa

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A low maintenance particle pollution sensing system using the Minimum Airflow Particle Counter (MAPC).

Theodore G. van Kessel, Ramachandran Muralidhar, Josephine B. Chang, Jun-Song Wang, Michael A. Schappert, Hendrik F. Hamann

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015

A method for rapid screening of various low-k TDDB models.

Fen Chen, Carole Graas, Michael A. Shinosky, Chad Burke, Kai D. Feng, Craig Bocash, Ramachandran Muralidhar

Proceedings of the IEEE International Reliability Physics Symposium, 2015