Publications

Advanced Search

Results 1–25 of 101

Scope

Center for Computing Research

All Sandia Publications

Publication Type

Author

Funding Source

Current Filters Clear all

Remove author filter×

Publication	Type	Year
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
Ultra-Efficient Neuromorphic Algorithm Acceleration Enabled by Resistive Memory (ReRAM) Crossbars Energy Consequences of Information Workshop Matthew Marinella, Sapan Agarwal, Robin B Jacobs-Gedrim, David Russell Hughart, Isaac Richter, Alexander W Hsia, Elliot James Fuller, Albert Alec Talin, Ronald S. Goeke, Steven J. Plimpton, Conrad D. James https://www.osti.gov/search/identifier:1641228	Conference Paper – 2019 Conference Paper	2019
Ultra-Efficient Neuromorphic Algorithm Acceleration Enabled by Resistive Memory (ReRAM) Crossbars Energy Consequences of Information Workshop Matthew Marinella, Sapan Agarwal, Robin B Jacobs-Gedrim, David Russell Hughart, Isaac Richter, Alexander W Hsia, Elliot James Fuller, Albert Alec Talin, Ronald S. Goeke, Steven J. Plimpton, Conrad D. James https://www.osti.gov/search/identifier:1641227	Conference Paper – 2019 Conference Paper	2019
Nanoionics for Neuromorphic Computing 21st International Conference on Solid State Ionics Matthew Marinella, Sapan Agarwal, Robin B Jacobs-Gedrim, Alexander W Hsia, David Russell Hughart, Elliot James Fuller, Steven J. Plimpton, Ronald S. Goeke, Albert Alec Talin, Conrad D. James	Abstract – 2019 Abstract	2019
Ultra-Efficient Neural Algorithm Accelerator Using Processing With Memory 5th Neuro Inspired Computational Elements Workshop Matthew Marinella, Sapan Agarwal, Robin B Jacobs-Gedrim, Alexander W Hsia, David Russell Hughart, Isaac Richter, Elliot James Fuller, Steven J. Plimpton, Albert Alec Talin, Conrad D. James https://www.osti.gov/search/identifier:1641230	Conference Paper – 2019 Conference Paper	2019
Ultra-Efficient Neural Algorithm Accelerator Using Processing With Memory (Poster) 5th Neuro Inspired Computational Elements Workshop Matthew Marinella, Sapan Agarwal, Robin B Jacobs-Gedrim, Alexander W Hsia, David Russell Hughart, Isaac Richter, Elliot James Fuller, Steven J. Plimpton, Albert Alec Talin, Conrad D. James https://www.osti.gov/search/identifier:1641229	Conference Paper – 2019 Conference Paper	2019
Sparse Data Acquisition on Emerging Memory Architectures IEEE Access Tu-Thach Quach, Sapan Agarwal, Conrad D. James, Matthew Marinella, James Bradley Aimone https://www.osti.gov/search/identifier:1492354	Journal Article – 2018 Journal Article	2018
Dynamic Analysis of Executables to Detect and Characterize Malware IEEE International Conference on Machine Learning and Applications (IEEE ICMLA) Michael Reed Smith, Joey Burton Ingram, Christopher Lamb, Timothy J. Draelos, Justin E Doak, James Bradley Aimone, Conrad D. James https://www.osti.gov/search/identifier:1806881	Conference Paper – 2018 Conference Paper	2018
Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting IEEE Conference on Decision and Control Aleksandra Faust, James Bradley Aimone, Conrad D. James, Lydia Tapia https://www.osti.gov/search/identifier:1592260	Conference Paper – 2018 Conference Paper	2018
Energy Efficient Neuromorphic Algorithm Acceleration Enabled by Resistive Memory (ReRAM) Crossbars Microelectronics Reliability & Qualification Working Meeting Matthew Marinella, Sapan Agarwal, Robin B Jacobs-Gedrim, David Russell Hughart, Isaac Richter, Alexander W Hsia, Elliot James Fuller, Albert Alec Talin, Ronald S. Goeke, Steven J. Plimpton, Conrad D. James https://www.osti.gov/search/identifier:1583083	Conference Paper – 2018 Conference Paper	2018
Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator IEEE Journal of Emerging Topics in Circuits and Systems (JETCAS) Matthew Marinella, Sapan Agarwal, Alexander W Hsia, Isaac (U Rochester) Richter, Robin B Jacobs-Gedrim, John Niroula, Steven J. Plimpton, Engin (U Rochester) Ipek, Conrad D. James	Journal Article – 2018 Journal Article	2018
Computing with Spikes: The Advantage of Fine-grained Timing Neural Computation Stephen Joseph Verzi, Fredrick Rothganger, Ojas D. Parekh, Tu-Thach Quach, Nadine E. Miner, Craig Michael Vineyard, Conrad D. James, James Bradley Aimone https://www.osti.gov/search/identifier:1466763	Journal Article – 2018 Journal Article	2018
Sparse Data Acquisition on Emerging Memory Architectures Tu-Thach Quach, Sapan Agarwal, Conrad D. James, Matthew Marinella, James Bradley Aimone https://www.osti.gov/search/identifier:1530151	SAND Report – 2018 SAND Report	2018
Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication 30th ACM Symposium on Parallelism in Algorithms and Architectures Ojas D. Parekh, Cynthia Ann Phillips, Conrad D. James, James Bradley Aimone https://www.osti.gov/search/identifier:1523356	Conference Paper – 2018 Conference Paper	2018
Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification IEEE Transactions on Information Forensics and Security Felix Wang, Tu-Thach Quach, Jason W. Wheeler, James Bradley Aimone, Conrad D. James https://www.osti.gov/search/identifier:1432478	Journal Article – 2018 Journal Article	2018
Solving the Information Technology Challenge Beyond Moore?s Law Frederick B. McCormick, Matthew Marinella, Alan Mitchell, Olle Heinonen, Conrad D. James, Denis Mamaluy, Toni Taylor, Maya (LLNL) Gokhale, John (LBL) Shalf, Candace (LANL) Culhane https://www.osti.gov/search/identifier:1527319	Report – 2018 Report	2018
Tracking Cyber Adversaries with Adaptive Indicators of Compromise 4th Annual Conf. on Computational Science & Computational Intelligence; THE 2017 INTERNATIONAL SYMPOSIUM ON CYBER WARFARE, CYBER DEFENSE, AND SECURITY Justin E Doak, Joey Burton Ingram, Samuel A. Mulder, John H. Naegle, Jonathan A. Cox, James Bradley Aimone, Kevin R. Dixon, Conrad D. James, David R. Follett https://www.osti.gov/search/identifier:1486988	Conference Paper – 2017 Conference Paper	2017
Tracking Cyber Adversaries with Adaptive Indicators of Compromise 4th Annual Conf. on Computational Science & Computational Intelligence; THE 2017 INTERNATIONAL SYMPOSIUM ON CYBER WARFARE, CYBER DEFENSE, AND SECURITY Justin E Doak, Justin E Doak, Joey Burton Ingram, Joey Burton Ingram, Samuel A. Mulder, Samuel A. Mulder, John H. Naegle, John H. Naegle, Jonathan A. Cox, Jonathan A. Cox, James Bradley Aimone, James Bradley Aimone, Kevin R. Dixon, Kevin R. Dixon, Conrad D. James, Conrad D. James, David R. Follet, David R. Follet https://www.osti.gov/search/identifier:1511128	Conference Paper – 2017 Conference Paper	2017
Designing an Analog Crossbar based Neuromorphic Accelerator Fifth Berkeley Symposium on Energy Efficient Electronic Systems & Steep Transistors Workshop Sapan Agarwal, Alexander W Hsia, Robin B Jacobs-Gedrim, David Russell Hughart, Steven J. Plimpton, Conrad D. James, Matthew Marinella https://www.osti.gov/search/identifier:1479183	Conference Paper – 2017 Conference Paper	2017
Designing an Analog Crossbar based Neuromorphic Accelerator Fifth Berkeley Symposium on Energy Efficient Electronic Systems & Steep Transistors Workshop Sapan Agarwal, Alexander W Hsia, Robin B Jacobs-Gedrim, David Russell Hughart, Steven J. Plimpton, Conrad D. James, Matthew Marinella https://www.osti.gov/search/identifier:1510608	Conference Paper – 2017 Conference Paper	2017
Data-driven Feature Sampling for Deep Hyperspectral Classification and Segmentation IEEE Signal Processing in Medicine and Biology Symposium William Mark Severa, Jerilyn A. Timlin, Suraj Kholwadwala, Conrad D. James, James Bradley Aimone https://www.osti.gov/search/identifier:1509662	Conference Paper – 2017 Conference Paper	2017
A Spike-Timing Neuromorphic Architecture IEEE International Conference on Rebooting Computing (ICRC 2017) Aaron Jamison Hill, Jonathon W. Donaldson, Fredrick 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:1470698	Conference Paper – 2017 Conference Paper	2017
Neuromorphic Data Microscope ACM Journal of Emerging Technologies John H. Naegle, Roger A. Suppona, James Bradley Aimone, Conrad D. James, David R. Follett, Duncan C.M. Townsend, Pamela L. Follett, Gabe D. Karpman https://www.osti.gov/search/identifier:1478335	Journal Article – 2017 Journal Article	2017
Steep Deep Spiking Networks Sandia Machine Learning/Deep Learning (MLDL) Conference Stephen Joseph Verzi, Ryan Anthony Dellana, William Mark Severa, Michael Reed Smith, Fredrick Rothganger, Conrad D. James, James Bradley Aimone, Craig Michael Vineyard https://www.osti.gov/search/identifier:1464724	Conference Paper – 2017 Conference Paper	2017
Neurogenesis Deep Learning Academic Alliance Faculty Field Day Poster Session Timothy J. Draelos, Nadine E. Miner, Jonathan Cox, Christopher Lamb, Craig Michael Vineyard, Kristofor Carlson, William Mark Severa, Conrad D. James, James Bradley Aimone https://www.osti.gov/search/identifier:1462930	Display or Poster (non-conference) – 2017 Display or Poster (non-conference)	2017
Document Title	Type	Year

Results 1–25 of 101

Publications

Neuromorphic Computing Algorithms and Architecture Research at Sandia

Ultra-Efficient Neuromorphic Algorithm Acceleration Enabled by Resistive Memory (ReRAM) Crossbars

Ultra-Efficient Neuromorphic Algorithm Acceleration Enabled by Resistive Memory (ReRAM) Crossbars

Nanoionics for Neuromorphic Computing

Ultra-Efficient Neural Algorithm Accelerator Using Processing With Memory

Ultra-Efficient Neural Algorithm Accelerator Using Processing With Memory (Poster)

Sparse Data Acquisition on Emerging Memory Architectures

Dynamic Analysis of Executables to Detect and Characterize Malware

Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting

Energy Efficient Neuromorphic Algorithm Acceleration Enabled by Resistive Memory (ReRAM) Crossbars

Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator

Computing with Spikes: The Advantage of Fine-grained Timing

Sparse Data Acquisition on Emerging Memory Architectures

Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication

Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification

Solving the Information Technology Challenge Beyond Moore?s Law

Tracking Cyber Adversaries with Adaptive Indicators of Compromise

Tracking Cyber Adversaries with Adaptive Indicators of Compromise

Designing an Analog Crossbar based Neuromorphic Accelerator

Designing an Analog Crossbar based Neuromorphic Accelerator

Data-driven Feature Sampling for Deep Hyperspectral Classification and Segmentation

A Spike-Timing Neuromorphic Architecture

Neuromorphic Data Microscope

Steep Deep Spiking Networks

Neurogenesis Deep Learning