Suma Cardwell

Orcid: 0000-0002-2657-5545

Affiliations:
  • Sandia National Laboratories, Albuquerque, NM, USA


According to our database1, Suma Cardwell authored at least 26 papers between 2020 and 2026.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Gain Modulation Using Shunting Inhibition in a Biased Subthreshold CMOS Dendrite.
IEEE Open J. Circuits Syst., 2026

2025
SANA-FE: Simulating Advanced Neuromorphic Architectures for Fast Exploration.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., August, 2025

A Bio-inspired Asymmetric Double-Gate Ferroelectric FET for Emulating Astrocyte and Dendrite Dynamics in Neuromorphic Systems.
CoRR, April, 2025

Leveraging dendritic complexity for neuromorphic computing.
Neuromorph. Comput. Eng., 2025

Exploring Dendrites in Large-Scale Neuromorphic Architectures.
Proceedings of the International Conference on Neuromorphic Systems, 2025

AI-Guided Codesign for Novel Computing Paradigms.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024
AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators.
CoRR, 2024

Expressive Dendrites in Spiking Networks.
Proceedings of the Neuro Inspired Computational Elements Conference, 2024

Neural-Inspired Dendritic Multiplication Using a Reconfigurable Analog Integrated Circuit.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Device Codesign using Reinforcement Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT.
Proceedings of the IEEE International Conference on Rebooting Computing, 2024

Bio-Inspired Active Silicon Dendrite for Direction Selectivity.
Proceedings of the International Conference on Neuromorphic Systems, 2024

Tutorial: Large-Scale Spiking Neuromorphic Architecture Exploration using SANA-FE.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2024

2023
Evaluation of HPC Workloads Running on Open-Source RISC-V Hardware.
Proceedings of the High Performance Computing, 2023

Shunting Inhibition as a Neural-Inspired Mechanism for Multiplication in Neuromorphic Architectures.
Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

AI-Enhanced Codesign of Neuromorphic Circuits.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Neuromorphic Population Evaluation using the Fugu Framework.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Deep Reinforcement Learning Methods for Discovering Novel Neuromorphic Devices.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Dendritic Computation for Neuromorphic Applications.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Performance and Energy Simulation of Spiking Neuromorphic Architectures for Fast Exploration.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Benchmarking a Bio-inspired SNN on a Neuromorphic System.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

ATHENA: Enabling Codesign for Next-Generation AI/ML Architectures.
Proceedings of the IEEE International Conference on Rebooting Computing, 2022

Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation.
Proceedings of the IEEE International Conference on Rebooting Computing, 2022

2020
Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Evaluating complexity and resilience trade-offs in emerging memory inference machines.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020


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