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Publication	Type	Year
A Neuromorphic Future for Classic Computing Tasks 2021 Neuro Inspired Computational Elements Conference James Bradley Aimone https://www.osti.gov/search/identifier:1855320	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
Scaling up Markov Chain Monte Carlo on Loihi Intel INRC Winter Meeting 2021 James Bradley Aimone https://www.osti.gov/search/identifier:1848044	Conference Presentation – 2021 Conference Presentation	2021
A roadmap for reaching the potential of brain-derived computing Advanced Intelligent Systems James Bradley Aimone https://www.osti.gov/search/identifier:1760460	Journal Article – 2020 Journal Article	2020
Preparing for the Next Generation of Brain-Inspired AI ValleyML James Bradley Aimone https://www.osti.gov/search/identifier:1826436	Conference Presentation – 2020 Conference Presentation	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
Neuromorphic scaling advantages for energy-efficient random walk computations John Darby Smith, Aaron Jamison Hill, Leah Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas D. Parekh, William Mark Severa, James Bradley Aimone https://www.osti.gov/search/identifier:1671377	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
Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths 32nd 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 https://www.osti.gov/search/identifier:1814114	Conference Paper – 2020 Conference Paper	2020
Solving a steady-state pde using spiking networks and neuromorphic hardware International Conference on Neuromorphic Systems John Darby Smith, William Mark Severa, Aaron Jamison Hill, Leah Reeder, Ojas D. Parekh, Brian C. Franke, Richard B. Lehoucq, James Bradley Aimone https://www.osti.gov/search/identifier:1813714	Conference Paper – 2020 Conference Paper	2020
Solving a steady-state pde using spiking networks and neuromorphic hardware International Conference on Neuromorphic Systems John Darby Smith, William Mark Severa, Aaron Jamison Hill, Leah Evelyn Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas D. Parekh, James Bradley Aimone https://www.osti.gov/search/identifier:1808426	Conference Paper – 2020 Conference Paper	2020
Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020) James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang https://www.osti.gov/search/identifier:1808434	Conference Paper – 2020 Conference Paper	2020
A Neuromorphic Future for Classic Computing Problems 2020 NICE Workshop James Bradley Aimone	Abstract – 2020 Abstract	2020
A Neuromorphic Future for Classic Computing Tasks Intel INRC Forum James Bradley Aimone https://www.osti.gov/search/identifier:1785161	Presentation (non-conference) – 2020 Presentation (non-conference)	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
Evaluating complexity and resilience trade-offs in emerging memory inference machines 2020 Neuro-Inspired Computational Elements Workshop 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:1768142	Conference Paper – 2020 Conference Paper	2020
Leveraging Random Walks to Solve IPDEs on Spiking Neuromorphic Hardware SIAM Parallel Processing John Darby Smith, James Bradley Aimone, William Mark Severa https://www.osti.gov/search/identifier:1765110	Conference Paper – 2020 Conference Paper	2020
Solving IPDEs on Spiking Neuromorphic Hardware Joint Math Meetings John Darby Smith, James Bradley Aimone, Brian C. Franke, Aaron Jamison Hill, Richard B. Lehoucq, Ojas D. Parekh, Leah Evelyn Reeder, William Mark Severa https://www.osti.gov/search/identifier:1761032	Conference Paper – 2020 Conference Paper	2020
Leveraging Random Walks and Neuromorphic Hardware to Solve Elliptical Integro-PDEs SIAM Parallel Processing John Darby Smith, James Bradley Aimone	Abstract – 2019 Abstract	2019
The Future of Computing: Integrating Scientific Computation on Neuromorphic Systems Leah Evelyn Reeder, James Bradley Aimone, William Mark Severa https://www.osti.gov/search/identifier:1592947	Report – 2019 Report	2019
Evaluating complexity and resilience trade-offs in emerging memory inference machines Neuro-Inspired Computational Elements Workshop Suma George Cardwell, Christopher Bennett, James Bradley Aimone, Ryan Anthony Dellana, Sapan Aggarwal https://www.osti.gov/search/identifier:1643292	Conference Paper – 2019 Conference Paper	2019
Preparing for the Next Generation of AI UT San Antonio AI Summit James Bradley Aimone https://www.osti.gov/search/identifier:1643272	Conference Paper – 2019 Conference Paper	2019
Computing with Spikes SRC Decadal Planning Workshop James Bradley Aimone https://www.osti.gov/search/identifier:1646089	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
Document Title	Type	Year

Results 26–50 of 242

Publications

A Neuromorphic Future for Classic Computing Tasks

Learning to Solve an Inverse Problem Using Neuromorphic Data Generation

Scaling up Markov Chain Monte Carlo on Loihi

A roadmap for reaching the potential of brain-derived computing

Preparing for the Next Generation of Brain-Inspired AI

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

Neuromorphic scaling advantages for energy-efficient random walk computations

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

Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths

Solving a steady-state pde using spiking networks and neuromorphic hardware

Solving a steady-state pde using spiking networks and neuromorphic hardware

Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths

A Neuromorphic Future for Classic Computing Problems

A Neuromorphic Future for Classic Computing Tasks

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

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

Leveraging Random Walks to Solve IPDEs on Spiking Neuromorphic Hardware

Solving IPDEs on Spiking Neuromorphic Hardware

Leveraging Random Walks and Neuromorphic Hardware to Solve Elliptical Integro-PDEs

The Future of Computing: Integrating Scientific Computation on Neuromorphic Systems

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

Preparing for the Next Generation of AI

Computing with Spikes