Supriyo Datta

Orcid: 0000-0001-8577-984X

According to our database1, Supriyo Datta authored at least 29 papers between 1979 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 1996, "For contributions to the understanding of electronic transport in ultra small devices.".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Heisenberg machines with programmable spin-circuits.
CoRR, 2023

A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms.
CoRR, 2023

Roadmap for Unconventional Computing with Nanotechnology.
CoRR, 2023

Emulating Quantum Circuits With Generalized Ising Machines.
IEEE Access, 2023

2021
Hardware Design for Autonomous Bayesian Networks.
Frontiers Comput. Neurosci., 2021

Benchmarking a Probabilistic Coprocessor.
CoRR, 2021

Perspective: Probabilistic computing with p-bits.
CoRR, 2021

Hardware-aware in-situ Boltzmann machine learning using stochastic magnetic tunnel junctions.
CoRR, 2021

Quantitative Evaluation of Hardware Binary Stochastic Neurons.
CoRR, 2021

2020
From Charge to Spin and Spin to Charge: Stochastic Magnets for Probabilistic Switching.
Proc. IEEE, 2020

Probabilistic Circuits for Autonomous Learning: A Simulation Study.
Frontiers Comput. Neurosci., 2020

Autonomous Probabilistic Coprocessing With Petaflips per Second.
IEEE Access, 2020

2019
Integer factorization using stochastic magnetic tunnel junctions.
Nat., 2019

Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons.
ACM J. Emerg. Technol. Comput. Syst., 2019

Voltage-Driven Building Block for Hardware Belief Networks.
IEEE Des. Test, 2019

A Survey on Architecture Advances Enabled by Emerging Beyond-CMOS Technologies.
IEEE Des. Test, 2019

Autonomous Probabilistic Coprocessing with Petaflips per Second.
CoRR, 2019

Low Barrier Magnet Design for Efficient Binary Stochastic Neurons: Perpendicular vs In-plane.
CoRR, 2019

p-Bits for Probabilistic Computing.
Proceedings of the Device Research Conference, 2019

Probabilistic Computing with Binary Stochastic Neurons.
Proceedings of the 2019 IEEE BiCMOS and Compound semiconductor Integrated Circuits and Technology Symposium (BCICTS), 2019

2018
p-Bits for Probabilistic Spin Logic.
CoRR, 2018

Implementing Bayesian Networks with Embedded Stochastic MRAM.
CoRR, 2018

2017
R-DBN: A Resistive Deep Belief Network Architecture Leveraging the Intrinsic Behavior of Probabilistic Devices.
CoRR, 2017

Hardware demonstration of stochastic p-bits for invertible logic.
CoRR, 2017

A Pathway to Enable Exponential Scaling for the Beyond-CMOS Era: Invited.
Proceedings of the 54th Annual Design Automation Conference, 2017

2016
Evaluating Spintronic Devices Using The Modular Approach.
CoRR, 2016

2012
Modeling circuits with spins and magnets for all-spin logic.
Proceedings of the 2012 European Solid-State Device Research Conference, 2012

2004
Understanding nanoscale conductors.
Proceedings of the 2004 International Symposium on Low Power Electronics and Design, 2004

1979
Theory of Guided Acoustic Waves in Piezoelectric Solids
PhD thesis, 1979


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