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ORCIDSuma Cardwell
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Conference and Workshop Papers
- 2024
[c18]James A. Boyle, Mark Plagge, Suma George Cardwell, Frances S. Chance, Andreas Gerstlauer:
Tutorial: Large-Scale Spiking Neuromorphic Architecture Exploration using SANA-FE. CODES+ISSS 2024: 1-2- [c17]Luke Parker, Suma George Cardwell, Frances S. Chance, Scott Koziol:
Bio-Inspired Active Silicon Dendrite for Direction Selectivity. ICONS 2024: 343-349 - [c16]Suma George Cardwell
, Karan Patel, Catherine D. Schuman, J. Darby Smith, Jaesuk Kwon, Andrew Maicke, Jared Arzate, Jean Anne C. Incorvia:
Device Codesign using Reinforcement Learning. ISCAS 2024: 1-5 - [c15]Jordan Edwards, Luke Parker, Suma George Cardwell, Frances S. Chance, Scott Koziol:
Neural-Inspired Dendritic Multiplication Using a Reconfigurable Analog Integrated Circuit. ISCAS 2024: 1-5 - [c14]Mark Plagge, Suma George Cardwell, Frances S. Chance:
Expressive Dendrites in Spiking Networks. NICE 2024: 1-8 - 2023
- [c13]James A. Boyle, Mark Plagge, Suma George Cardwell, Frances S. Chance, Andreas Gerstlauer:
Performance and Energy Simulation of Spiking Neuromorphic Architectures for Fast Exploration. ICONS 2023: 19:1-19:4 - [c12]Suma George Cardwell, Frances S. Chance:
Dendritic Computation for Neuromorphic Applications. ICONS 2023: 35:1-35:5 - [c11]Douglas Cale Crowder, John Darby Smith, Suma George Cardwell:
Deep Reinforcement Learning Methods for Discovering Novel Neuromorphic Devices. ICONS 2023: 37:1-37:8 - [c10]William Severa, Suma George Cardwell, Michael Krygier, Fredrick H. Rothganger, Craig Michael Vineyard:
Neuromorphic Population Evaluation using the Fugu Framework. ICONS 2023: 42:1-42:7 - [c9]Douglas Cale Crowder, J. Darby Smith, Suma George Cardwell:
AI-Enhanced Codesign of Neuromorphic Circuits. MWSCAS 2023: 1025-1029 - [c8]Frances S. Chance, Suma George Cardwell:
Shunting Inhibition as a Neural-Inspired Mechanism for Multiplication in Neuromorphic Architectures. NICE 2023: 41-46 - [c7]Luc Berger-Vergiat, Suma George Cardwell, Ben Feinberg, Simon D. Hammond, Clayton Hughes, Michael J. Levenhagen, Kevin T. Pedretti:
Evaluation of HPC Workloads Running on Open-Source RISC-V Hardware. ISC Workshops 2023: 538-551 - 2022
- [c6]Mark Plagge, Ben Feinberg, John McFarland, Fred Rothganger, Sapan Agarwal, Amro Awad, Clayton Hughes, Suma George Cardwell:
ATHENA: Enabling Codesign for Next-Generation AI/ML Architectures. ICRC 2022: 13-23 - [c5]Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne C. Incorvia, James B. Aimone:
Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. ICRC 2022: 57-65 - [c4]Craig M. Vineyard, Suma Cardwell, Frances S. Chance, Srideep Musuvathy, Fred Rothganger, William Severa, John Darby Smith, Corinne Teeter, Felix Wang, James B. Aimone:
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight. NICE 2022: 40-49 - [c3]Luke Parker, Frances S. Chance, Suma Cardwell:
Benchmarking a Bio-inspired SNN on a Neuromorphic System. NICE 2022: 63-66 - 2020
- [c2]Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone:
Evaluating complexity and resilience trade-offs in emerging memory inference machines. NICE 2020: 22:1-22:4 - [c1]Suma George Cardwell, Craig M. Vineyard, William Severa, Frances S. Chance, Fredrick H. Rothganger, Felix Wang, Srideep Musuvathy, Corinne Teeter, James B. Aimone:
Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC. SMC 2020: 349-365
Editorship
- 2023
- [e1]Dhireesha Kudithipudi, Charlotte Frenkel, Suma Cardwell, James B. Aimone:
Neuro-Inspired Computational Elements Conference, NICE2023, San Antonio, TX, USA, April 11-14, 2023. ACM 2023, ISBN 978-1-4503-9947-0 [contents]
Informal and Other Publications
- 2024
- [i3]Karan P. Patel, Andrew Maicke, Jared Arzate, Jaesuk Kwon, J. Darby Smith, James B. Aimone, Jean Anne C. Incorvia, Suma George Cardwell, Catherine D. Schuman:
AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators. CoRR abs/2411.01008 (2024) - 2022
- [i2]Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne C. Incorvia, James B. Aimone:
Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. CoRR abs/2212.00625 (2022) - 2020
- [i1]Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone:
Evaluating complexity and resilience trade-offs in emerging memory inference machines. CoRR abs/2003.10396 (2020)
Coauthor Index
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