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Publication	Type	Year
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
Effective Pruning of Binary Activation Neural Networks International Conference on Neuromorphic Systems William Mark Severa, Ryan Anthony Dellana, Craig Michael Vineyard https://www.osti.gov/search/identifier:1808427	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
Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence Frontiers in Computational Neuroscience Frances S. Chance, James Bradley Aimone, Srideep Musuvathy, Michael Reed Smith, Craig Michael Vineyard, Felix Wang https://www.osti.gov/search/identifier:1617318	Journal Article – 2020 Journal Article	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
SEEK - Scoping neuromorphic architecture impact enabling advanced sensing capabilities Nuclear Security Applications Research & Development (NSARD) Craig Michael Vineyard, James Bradley Aimone, William Mark Severa, Mark Plagge, Thomas A. Reichardt, Andrew Sornborger https://www.osti.gov/search/identifier:1772874	Display or Poster (non-conference) – 2020 Display or Poster (non-conference)	2020
Spike Processing for Improved Radiation Tolerance and Low Power Space Missions Nuclear Explosion Monitoring Annual Meeting Park Hays, Arlo L. Ames, Ryan Anthony Dellana, Matthew J. Kagie, Andrew J. Scholand, William Mark Severa, Joshua Shank, Craig Michael Vineyard https://www.osti.gov/search/identifier:1770682	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
Comparing Neural Accelerators & Neuromorphic -The False Idol of Operations Neuro Inspired Computational Elements Workshop 2020 Craig Michael Vineyard, Mark Plagge, Sam Green https://www.osti.gov/search/identifier:1769574	Conference Paper – 2020 Conference Paper	2020
Machines Learning about Machines - ML for Analysis and Control of HPC Infrastructure Conference on Data Analysis (CoDA) 2020 Felix Wang, Sam Green, Kevin Pedretti, Craig Michael Vineyard, Andrew J Younge https://www.osti.gov/search/identifier:1767893	Conference Paper – 2020 Conference Paper	2020
Machines Learning about Machines ? ML for Analysis & Control of HPC Infrastructure Conference on Data Analysis (CoDA) 2020 Craig Michael Vineyard, Felix Wang, Kevin Pedretti, Andrew Charles Young, Sam Green	Abstract – 2020 Abstract	2020
Neural-inspired Computing at Sandia Labs - Enabling and Performing Advanced Computation Supercomputing 2019 Craig Michael Vineyard https://www.osti.gov/search/identifier:1643305	Conference Paper – 2019 Conference Paper	2019
Fugu: Algorithm Development for Neuromorphic Hardware Intel Neuromorphic Research Community Fall Workshop Srideep Musuvathy, James Bradley Aimone, Suma George Cardwell, Frances S. Chance, Ryan Anthony Dellana, Yang Ho, Leah Evelyn Reeder, William Mark Severa, Craig Michael Vineyard, Felix Wang https://www.osti.gov/search/identifier:1646072	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
Neural Inspired Computation Remote Sensing Platform Craig Michael Vineyard, William Mark Severa, Sam Green, Ryan Anthony Dellana, Mark Plagge, Aaron Jamison Hill https://www.osti.gov/search/identifier:1569155	SAND Report – 2019 SAND Report	2019
Composing Neural Algorithms with Fugu Icons James Bradley Aimone, William Mark Severa, Craig Michael Vineyard https://www.osti.gov/search/identifier:1641992	Conference Paper – 2019 Conference Paper	2019
Hardware-Aware Neural Architecture Search Agile RTL Sam Green, Craig Michael Vineyard https://www.osti.gov/search/identifier:1645868	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
Machine Learning for System Software ? Can Computers Manage Computers? Sandia Machine Learning Deep Learning Craig Michael Vineyard, Sam Green, Kevin Pedretti, Andrew J Younge, Vitus J. Leung https://www.osti.gov/search/identifier:1645723	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
Neuromorphic Computing Algorithms and Architecture Research at Sandia Ccd Titans Intern Tech Talk Aaron Jamison Hill, Jonathon W. Donaldson, Fredrick H. Rothganger, Craig Michael Vineyard, David R. Follett, Pamela L. Follett, Michael Reed Smith, Stephen Joseph Verzi, William Mark Severa, Felix Wang, James Bradley Aimone, John H. Naegle, Conrad D. James https://www.osti.gov/search/identifier:1645676	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
A Resurgence in Neuromorphic Architectures Enabling Remote Sensing Computation IEEE Space Computing Conference Craig Michael Vineyard, William Mark Severa, Matthew J. Kagie, Andrew J. Scholand, Park Hays https://www.osti.gov/search/identifier:1641340	Conference Paper – 2019 Conference Paper	2019
Benchmarking Event-Driven Neuromorphic Architectures International Conference of Neuromorphic Systems (ICONS) 2019 Craig Michael Vineyard, Sam Green, William Mark Severa, Cetin Kaya Koc	Conference Paper – 2019 Conference Paper	2019
Self-updating Models with Error Remediation for Bandwidth-constrained Environments 2019 IEEE Space Computing Conference (SCC) Justin E Doak, Joey Burton Ingram, Michael Reed Smith, Craig Michael Vineyard https://www.osti.gov/search/identifier:1641249	Conference Paper – 2019 Conference Paper	2019
Self-updating learning models with error correction remediation for bandwidth- constrained environments IEEE Space Computing Conference (SCC) Michael Reed Smith, Justin E Doak, Joey Burton Ingram, Craig Michael Vineyard	Abstract – 2019 Abstract	2019
Whetstone R&D 100 Submission James Bradley Aimone, William Mark Severa, Craig Michael Vineyard	Marketing or Promotional – 2019 Marketing or Promotional	2019
Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform Nice 2019 Craig Michael Vineyard, Ryan Anthony Dellana, James Bradley Aimone, William Mark Severa https://www.osti.gov/search/identifier:1639535	Conference Paper – 2019 Conference Paper	2019
Generic Spiking Architecture (GenSA) NiCE 2019 Fredrick Rothganger, Craig Michael Vineyard, Arun F. Rodrigues https://www.osti.gov/search/identifier:1639505	Conference Paper – 2019 Conference Paper	2019
Building a Comprehensive Neuromorphic Platform for Remote Computation GOMACTech Aaron Jamison Hill, William Mark Severa, Craig Michael Vineyard, Ryan Anthony Dellana, Leah Evelyn Reeder, Felix Wang, James Bradley Aimone, Angel Yanguas-Gil https://www.osti.gov/search/identifier:1639487	Conference Paper – 2019 Conference Paper	2019
Document Title	Type	Year

Results 26–50 of 147

Publications

Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks

Effective Pruning of Binary Activation Neural Networks

Evolving Spiking Circuit Motifs using Weight Agnostic Neural Networks

Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence

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

SEEK - Scoping neuromorphic architecture impact enabling advanced sensing capabilities

Spike Processing for Improved Radiation Tolerance and Low Power Space Missions

Comparing Neural Accelerators & Neuromorphic -The False Idol of Operations

Machines Learning about Machines - ML for Analysis and Control of HPC Infrastructure

Machines Learning about Machines ? ML for Analysis & Control of HPC Infrastructure

Neural-inspired Computing at Sandia Labs - Enabling and Performing Advanced Computation

Fugu: Algorithm Development for Neuromorphic Hardware

Neural Inspired Computation Remote Sensing Platform

Composing Neural Algorithms with Fugu

Hardware-Aware Neural Architecture Search

Machine Learning for System Software ? Can Computers Manage Computers?

Neuromorphic Computing Algorithms and Architecture Research at Sandia

A Resurgence in Neuromorphic Architectures Enabling Remote Sensing Computation

Benchmarking Event-Driven Neuromorphic Architectures

Self-updating Models with Error Remediation for Bandwidth-constrained Environments

Self-updating learning models with error correction remediation for bandwidth- constrained environments

Whetstone R&D 100 Submission

Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform

Generic Spiking Architecture (GenSA)

Building a Comprehensive Neuromorphic Platform for Remote Computation