Samiran Ganguly

According to our database, Samiran Ganguly authored at least 14 papers between 2006 and 2024.

Collaborative distances:

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

2024

Reconfigurable Stochastic Neurons Based on Strain Engineered Low Barrier Nanomagnets.

Rahnuma Rahman, Samiran Ganguly, Supriyo Bandyopadhyay

CoRR, 2024

2023

A Deep Dive into the Computational Fidelity of High Variability Low Energy Barrier Magnet Technology for Accelerating Optimization and Bayesian Problems.

Md Golam Morshed, Samiran Ganguly, Avik W. Ghosh

CoRR, 2023

Choose your tools carefully: A Comparative Evaluation of Deterministic vs. Stochastic and Binary vs. Analog Neuron models for Implementing Emerging Computing Paradigms.

Md Golam Morshed, Samiran Ganguly, Avik W. Ghosh

CoRR, 2023

Roadmap for Unconventional Computing with Nanotechnology.

Giovanni Finocchio, Supriyo Bandyopadhyay, Peng Lin, Gang Pan, J. Joshua Yang, Riccardo Tomasello, Christos Panagopoulos, Mario Carpentieri, Vito Puliafito, Johan Åkerman, Hiroki Takesue, Amit Ranjan Trivedi, Saibal Mukhopadhyay, Kaushik Roy, Vinod K. Sangwan, Mark C. Hersam, Anna Giordano, Huynsoo Yang, Julie Grollier, Kerem Yunus Camsari, Peter L. McMahon, Supriyo Datta, Jean Anne C. Incorvia, Joseph S. Friedman, Sorin Cotofana, Florin Ciubotaru, Andrii V. Chumak, Azad J. Naeemi, Brajesh Kumar Kaushik, Yao Zhu, Kang Wang, Belita Koiller, Gabriel Aguilar, Guilherme P. Temporão, Kremena Makasheva, Aida Todri-Sanial, Jennifer Hasler, William Levy, Vwani Roychowdhury, Samiran Ganguly, Avik W. Ghosh, Davi Rodriquez, Satoshi Sunada, Karin Everschor-Sitte, Amit Lal, Shubham Jadhav, Massimiliano Di Ventra, Yuriy V. Pershin, Kosuke Tatsumura, Hayato Goto

CoRR, 2023

2021

Analog Signal Processing Using Stochastic Magnets.

Samiran Ganguly, Kerem Yunus Camsari, Avik W. Ghosh

IEEE Access, 2021

2020

Temporal Memory with Magnetic Racetracks.

Hamed Vakili, Mohammad Nazmus Sakib, Samiran Ganguly, Mircea Stan, Matthew W. Daniels, Advait Madhavan, Mark D. Stiles, Avik W. Ghosh

CoRR, 2020

Ultra-Compact, Scalable, Energy-Efficient $VO_{2}$ Insulator-Metal-Transition Oxide Based Spiking Neurons for Liquid State Machines.

Samiran Ganguly, Nikhil Shukla, Avik W. Ghosh

Proceedings of the 28th IFIP/IEEE International Conference on Very Large Scale Integration, 2020

Building Reservoir Computing Hardware Using Low Energy-Barrier Magnetics.

Samiran Ganguly, Avik W. Ghosh

Proceedings of the International Conference on Neuromorphic Systems, 2020

2018

Hardware based Spatio-Temporal Neural Processing Backend for Imaging Sensors: Towards a Smart Camera.

Samiran Ganguly, Yunfei Gu, Mircea R. Stan, Avik W. Ghosh

CoRR, 2018

Reservoir Computing Based Neural Image Filters.

Samiran Ganguly, Yunfei Gu, Yunkun Xie, Mircea R. Stan, Avik W. Ghosh, Nibir K. Dhar

Proceedings of the IECON 2018, 2018

2017

Reservoir Computing using Stochastic p-Bits.

Samiran Ganguly, Kerem Yunus Camsari, Avik W. Ghosh

CoRR, 2017

2016

Evaluating Spintronic Devices Using The Modular Approach.

Samiran Ganguly, Kerem Yunus Camsari, Supriyo Datta

CoRR, 2016

2007

Modeling of Leakages in Nano-Scale DG MOSFET to Implement Low Power SRAM: A Device/Circuit Co-Design.

Deblina Sarkar, Samiran Ganguly, Deepanjan Datta, A. Ananda Prasad Sarab, Sudeb Dasgupta

Proceedings of the 20th International Conference on VLSI Design (VLSI Design 2007), 2007

2006

Design of Multi-bit SET Adder and Its Fault Simulation.

Deepanjan Datta, Samiran Ganguly

Proceedings of the 19th International Conference on VLSI Design (VLSI Design 2006), 2006