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Publication	Type	Year
Learning to Parameterize a Stochastic Processing Using Neuromorphic Data Generation International Conference on Neuromorphic Systems William Mark Severa, John Darby Smith, Richard B. Lehoucq, James Bradley Aimone	Conference Presentation – 2022 Conference Presentation	2022
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
Learning to Parameterize a Stochastic Process Using Neuromorphic Data Generation International Conference on Neuromorphic Systems William Mark Severa, John Darby Smith, Richard B. Lehoucq, James Bradley Aimone	Conference Paper – 2022 Conference Paper	2022
Research Challenges for Energy-Efficient Computing in Automated Vehicles IEEE Computer Robert Dick, Robert Aitken, John Strachan, Kirk Bresniker, Wei Lu, Yorie Nakahira, Zhiyong Li, Matthew Marinella, William Mark Severa, Albert Alec Talin, Craig Michael Vineyard, Suhas Kumar, Christian Mailhiot, Leonard E. Klebanoff	Journal Article – 2022 Journal Article	2022
Spiking Neural Approaches to SAR ATR SPIE Defense and Commercial Sensing Craig Michael Vineyard, James Bradley Aimone, Ryan Anthony Dellana, Esteban J. Guillen, Aaron Jamison Hill, William Mark Severa, Javier Zazueta	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
Exploring SAR ATR with Neural Networks: Going Beyond Accuracy Automatic Target Recognition XXXII Ryan David Melzer, William Mark Severa, Craig Michael Vineyard	Conference Paper – 2022 Conference Paper	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
Neuromorphic Architectures: Efficient and Parallel Post-Moore Scientific Computing Potential SIAM Parallel Processing 2022 John Darby Smith, William Mark Severa	Conference Presentation – 2022 Conference Presentation	2022
Neuromorphic scaling advantages for energy-efficient random walk computations Nature Electronics John Darby Smith, Aaron Jamison Hill, Reeder Leah, Brian C. Franke, Richard B. Lehoucq, Ojas D. Parekh, William Mark Severa, James Bradley Aimone https://www.osti.gov/search/identifier:1845387	Journal Article – 2022 Journal Article	2022
Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling International Conference on Rebooting Computing John Darby Smith, Richard B. Lehoucq, James Bradley Aimone, William Mark Severa	Conference Paper – 2021 Conference Paper	2021
Neuromorphic Graph Algorithms Ojas D. Parekh, Yipu Wang, Yang Ho, Cynthia Ann Phillips, Ali Pinar, James Bradley Aimone, William Mark Severa https://www.osti.gov/search/identifier:1829422	SAND Report – 2021 SAND Report	2021
Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling International Conference on Rebooting Computing John Darby Smith, James Bradley Aimone, William Mark Severa, Richard B. Lehoucq	Conference Presentation – 2021 Conference Presentation	2021
Spiking Neural Streaming Binary Arithmetic IEEE International Conference on Rebooting Computing (ICRC 2021) James Bradley Aimone, Aaron Jamison Hill, William Mark Severa, Craig Michael Vineyard	Conference Paper – 2021 Conference Paper	2021
AI Ecosystem for the Edge AI & Quantum Computing Symposium William Mark Severa	Conference Presentation – 2021 Conference Presentation	2021
Energy Efficient Computing R&D Roadmap Outline for Automated Vehicles Rob Aitken, Yorie Nakahira, John Paul Strachan, Kirk Bresniker, Ian Young, Zhiyong Li, Leonard E. Klebanoff, Carrie L Burchard, Suhas Kumar, Matthew Marinella, William Mark Severa, Albert Alec Talin, Craig Michael Vineyard, Christian Mailhiot, Robert Dick, Wei Lu, Jace Mogill https://www.osti.gov/search/identifier:1821804	Report – 2021 Report	2021
Provable Advantages for Graph Algorithms in Spiking Neural Networks ACM Symposium on Parallelism in Algorithms and Architectures James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang	Conference Presentation – 2021 Conference Presentation	2021
Provable advantages for graph algorithms in spiking neural networks 33rd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2021) James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang https://www.osti.gov/search/identifier:1871422	Conference Paper – 2021 Conference Paper	2021
Exploring Characteristics of Neural Network Architecture Computation for Enabling SAR ATR SPIE Defense + Commercial Sensing Ryan David Melzer, William Mark Severa, Mark Plagge, Craig Michael Vineyard https://www.osti.gov/search/identifier:1876707	Conference Paper – 2021 Conference Paper	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
Platform-Agnostic Neural Algorithm Composition using Fugu Neuro-Inspired Computational Elements William Mark Severa, James Bradley Aimone, Craig Michael Vineyard, Srideep Musuvathy, Yang Ho, Zubin Alexander Kane, Leah Reeder https://www.osti.gov/search/identifier:1856292	Conference Presentation – 2021 Conference Presentation	2021
Comparing Neural Accelerators & Neuromorphic Architectures ? The False Idol of Operations Neuro Inspired Computational Elements 2021 Craig Michael Vineyard, Mark Plagge, Sam Green, William Mark Severa https://www.osti.gov/search/identifier:1855322	Conference Presentation – 2021 Conference Presentation	2021
Learning to Solve an Inverse Problem Using Neuromorphic Data Generation Smoky Mountains Conference John Darby Smith, William Mark Severa, Richard B. Lehoucq, James Bradley Aimone	Abstract – 2021 Abstract	2021
Analyzing Efficiencies of Algorithm-Architecture Mappings Smoky Mountains Computational Sciences and Engineering Conference Mark Plagge, Craig Michael Vineyard, William Mark Severa	Abstract – 2021 Abstract	2021
Neural Network Approaches for Enabling Automatic Target Recognition WorkshopUncertainty Management and Machine Learning in Engineering Applications Craig Michael Vineyard, Ryan David Melzer, Srideep Musuvathy, John Richards, William Mark Severa, John Darby Smith https://www.osti.gov/search/identifier:1831567	Conference Presentation – 2020 Conference Presentation	2020
Document Title	Type	Year

Results 1–25 of 121

Publications

Learning to Parameterize a Stochastic Processing Using Neuromorphic Data Generation

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

Learning to Parameterize a Stochastic Process Using Neuromorphic Data Generation

Research Challenges for Energy-Efficient Computing in Automated Vehicles

Spiking Neural Approaches to SAR ATR

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight

Exploring SAR ATR with Neural Networks: Going Beyond Accuracy

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight

Neuromorphic Architectures: Efficient and Parallel Post-Moore Scientific Computing Potential

Neuromorphic scaling advantages for energy-efficient random walk computations

Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling

Neuromorphic Graph Algorithms

Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling

Spiking Neural Streaming Binary Arithmetic

AI Ecosystem for the Edge

Energy Efficient Computing R&D Roadmap Outline for Automated Vehicles

Provable Advantages for Graph Algorithms in Spiking Neural Networks

Provable advantages for graph algorithms in spiking neural networks

Exploring Characteristics of Neural Network Architecture Computation for Enabling SAR ATR

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

Platform-Agnostic Neural Algorithm Composition using Fugu

Comparing Neural Accelerators & Neuromorphic Architectures ? The False Idol of Operations

Learning to Solve an Inverse Problem Using Neuromorphic Data Generation

Analyzing Efficiencies of Algorithm-Architecture Mappings

Neural Network Approaches for Enabling Automatic Target Recognition