Publications

Advanced Search

Results 1–25 of 31

Scope

Center for Computing Research

All Sandia Publications

Publication Type

Author

Funding Source

Current Filters Clear all

Remove author filter×

Publication	Type	Year
Neural Mini-Apps: Lighter, Faster Diagnostic Tests for Neuromorphic Computing James Bradley Aimone, Suma George Cardwell, Frances S. Chance, Srideep Musuvathy, Fredrick Rothganger, William Mark Severa, John Darby Smith, Corinne Michelle Teeter, Craig Michael Vineyard, Felix Wang	Marketing or Promotional – 2022 Marketing or Promotional	2022
Benchmarking a Bio-inspired SNN on a Neuromorphic System NICE 2022Neuro-Inspired Computational Elements Conference Luke Garrison Parker, Frances S. Chance, Suma George Cardwell	Conference Presentation – 2022 Conference Presentation	2022
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight Neuro-Inspired Computational Elements (NICE) Workshop 2022 Craig Michael Vineyard, James Bradley Aimone, Suma George Cardwell, Frances S. Chance, Srideep Musuvathy, Fredrick Rothganger, John Darby Smith, William Mark Severa, Corinne Michelle Teeter, Felix Wang	Conference Presentation – 2022 Conference Presentation	2022
Codesign of Next-Generation Neuromorphic Architectures UT-Austin Sandia Day 2022 James Boyle, Frances S. Chance, Suma George Cardwell, Mark Plagge, Andreas Gerstlauer	Display or Poster (non-conference) – 2022 Display or Poster (non-conference)	2022
Benchmarking a Bio-inspired SNN on a Neuromorphic System NICE 2022Neuro-Inspired Computational Elements Conference Luke Garrison Parker, Frances S. Chance, Suma George Cardwell	Conference Proceeding – 2022 Conference Proceeding	2022
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight The 9th Annual Neuro-Inspired Computational Elements (NICE) workshop Craig Michael Vineyard, Suma George Cardwell, Frances S. Chance, Srideep Musuvathy, Fredrick Rothganger, William Mark Severa, John Darby Smith, Corinne Michelle Teeter, Felix Wang, James Bradley Aimone	Conference Proceeding – 2022 Conference Proceeding	2022
Neuroscience-Inspired Approaches to Low-Power Computing 2022 Energy Consequences of Information Workshop Frances S. Chance, Suma George Cardwell, Gonzalez-Bellido, Scott Koziol	Conference Presentation – 2022 Conference Presentation	2022
The ASC Advanced Machine Learning Initiative at Sandia National Laboratories: FY21 Accomplishments and FY22 Plans ASC AMLI Program Review Ron A. Oldfield, Sharlotte LorraineBolyard Kramer, Ahmad Rushdi, Erin Acquesta, John M Emery, Paul Allen Kuberry, Jaideep Ray, Sarah Ackerman, Eric Christopher Cyr, Gary Joseph Saavedra, Clayton Hughes, Suma George Cardwell, John Darby Smith	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
ATHENA: Enabling high speed performance estimates for novel hardware design space exploration Modsim 2021 Mark Plagge, Suma George Cardwell, Clayton Hughes	Conference Presentation – 2021 Conference Presentation	2021
ATHENA: Enabling high speed performance estimates for novel hardware design space exploration Modsim 2020 Mark Plagge, Suma George Cardwell, Clayton Hughes	Conference Poster – 2021 Conference Poster	2021
Sandia and Georgia Tech IEN WOrkshop_Bios_Titles_Abstracts Tianyao Xiao, Suma George Cardwell, Christopher Nordquist, Michael Wood	Marketing or Promotional – 2021 Marketing or Promotional	2021
Implementation of Dragonfly Interception Model on Neuromorphic Hardware International Conference on Neuromorphic Systems Luke Garrison Parker, Frances S. Chance, Suma George Cardwell	Conference Presentation – 2021 Conference Presentation	2021
ATHENA: A High Efficiency Codesign Tool forNovel Accelerators ModSim 2021 Mark Plagge, Suma George Cardwell, Clayton Hughes	Abstract – 2021 Abstract	2021
Evaluating complexity and resilience trade-offs in emerging memory inference machines NICE Virtual Conference Proceedings Christopher Bennett, Ryan Anthony Dellana, Tianyao Xiao, Benjamin Feinberg, Sapan Agarwal, Suma George Cardwell, Matthew Marinella, William Mark Severa, James Bradley Aimone https://www.osti.gov/search/identifier:1859699	Conference Presentation – 2021 Conference Presentation	2021
Achieving Extreme Heterogeneity: CoDesign using Neuromorphic Processors ASCR Workshop on Reimagining Codesign Suma George Cardwell https://www.osti.gov/search/identifier:1854692	Conference Presentation – 2021 Conference Presentation	2021
Assessing Noise Robustness of Spiking Weight Agnostic Neural Networks IEEE Space Computing Conference (SCC) Abrar Anwar, Craig Michael Vineyard, William Mark Severa, Suma George Cardwell	Abstract – 2020 Abstract	2020
Mosaic, The Best of Both Worlds: Analog devices with Digital Spiking Communication to build a Hybrid Neural Network Accelerator James Bradley Aimone, Christopher Bennett, Suma George Cardwell, Ryan Anthony Dellana, Tianyao Xiao https://www.osti.gov/search/identifier:1673175	SAND Report – 2020 SAND Report	2020
Truly heterogeneous HPC: Co-design to achieve what science needs from HPC Smoky Mountains Computational Sciences & Engineering Conference Suma George Cardwell, James Bradley Aimone https://www.osti.gov/search/identifier:1818046	Conference Paper – 2020 Conference Paper	2020
Neuromorphic Computing: Towards Extremely Heterogeneous HPC Supercomputing Suma George Cardwell https://www.osti.gov/search/identifier:1813721	Conference Paper – 2020 Conference Paper	2020
Truly heterogeneous HPC: Co-design to achieve what science needs from HPC Smoky Mountains Computational Sciences & Engineering Conference Suma George Cardwell https://www.osti.gov/search/identifier:1813526	Conference Paper – 2020 Conference Paper	2020
Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks International Conference on Neuromorphic Systems Abrar Anwar, Suma George Cardwell, Srideep Musuvathy, William Mark Severa, Craig Michael Vineyard https://www.osti.gov/search/identifier:1808779	Conference Paper – 2020 Conference Paper	2020
Evolving Spiking Circuit Motifs using Weight Agnostic Neural Networks International Conference on Neuromorphic Systems Abrar Anwar, Suma George Cardwell, Srideep Musuvathy, William Mark Severa, Craig Michael Vineyard https://www.osti.gov/search/identifier:1804991	Conference Paper – 2020 Conference Paper	2020
Neuromorphic Hardware and Architectures CSRI Summer Seminar Series Suma George Cardwell https://www.osti.gov/search/identifier:1807440	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
Truly heterogeneous HPC: Co-design to achieve what science needs from HPC Smoky Mountains Computational Sciences & Engineering Conference Suma George Cardwell https://www.osti.gov/search/identifier:1807429	Conference Paper – 2020 Conference Paper	2020
Truly heterogeneous HPC: co-design to achieve what science needs from HPC Smoky Mountains Computational Sciences & Engineering Conference Suma George Cardwell, James Bradley Aimone, Craig Michael Vineyard, William Mark Severa, Frances S. Chance	Abstract – 2020 Abstract	2020
Document Title	Type	Year

Results 1–25 of 31

Publications

Neural Mini-Apps: Lighter, Faster Diagnostic Tests for Neuromorphic Computing

Benchmarking a Bio-inspired SNN on a Neuromorphic System

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight

Codesign of Next-Generation Neuromorphic Architectures

Benchmarking a Bio-inspired SNN on a Neuromorphic System

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight

Neuroscience-Inspired Approaches to Low-Power Computing

The ASC Advanced Machine Learning Initiative at Sandia National Laboratories: FY21 Accomplishments and FY22 Plans

ATHENA: Enabling high speed performance estimates for novel hardware design space exploration

ATHENA: Enabling high speed performance estimates for novel hardware design space exploration

Sandia and Georgia Tech IEN WOrkshop_Bios_Titles_Abstracts

Implementation of Dragonfly Interception Model on Neuromorphic Hardware

ATHENA: A High Efficiency Codesign Tool forNovel Accelerators

Evaluating complexity and resilience trade-offs in emerging memory inference machines

Achieving Extreme Heterogeneity: CoDesign using Neuromorphic Processors

Assessing Noise Robustness of Spiking Weight Agnostic Neural Networks

Mosaic, The Best of Both Worlds: Analog devices with Digital Spiking Communication to build a Hybrid Neural Network Accelerator

Truly heterogeneous HPC: Co-design to achieve what science needs from HPC

Neuromorphic Computing: Towards Extremely Heterogeneous HPC

Truly heterogeneous HPC: Co-design to achieve what science needs from HPC

Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks

Evolving Spiking Circuit Motifs using Weight Agnostic Neural Networks

Neuromorphic Hardware and Architectures

Truly heterogeneous HPC: Co-design to achieve what science needs from HPC

Truly heterogeneous HPC: co-design to achieve what science needs from HPC