Publications

22 Results
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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

RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search

arXiv

Craig (SNL) Vineyard, Ryan (SNL) Helinski, Cetin Koc, Sam Green

https://www.osti.gov/search/identifier:1643262

Conference Paper – 2019 Conference Paper 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

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

State Representation Learning for Deep Planning

Sandia Machine Learning and Deep Learning Workshop 2019

Felix Wang, Sam Green, William Mark Severa

https://www.osti.gov/search/identifier:1641498

Conference Paper – 2019 Conference Paper 2019

State Representation Learning for Deep Planning

Sandia Machine Learning and Deep Learning Workshop 2019

Felix Wang, Sam Green, William Mark Severa

https://www.osti.gov/search/identifier:1641483

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

Benchmarking Event-Driven Neuromorphic Architectures

International Conference on Neuromorphic Systems

Craig (SNL) Vineyard, William (SNL) Severa, Cetin Koc, Sam (SNL) Green, Sam Green

https://www.osti.gov/search/identifier:1641312

Conference Paper – 2019 Conference Paper 2019

Neuromorphic Computing: Memristors Learn to Play

Nature Electronics

Sam Green, James Bradley Aimone

https://www.osti.gov/search/identifier:1575274

Journal Article – 2019 Journal Article 2019

Distillation Strategies for Proximal Policy Optimization

IEEE Transactions on Computers

Sam Green, Craig Michael Vineyard, Cetin Koc

Journal Article – 2019 Journal Article 2019

Distillation Strategies for Proximal Policy Optimization

arXiv.org

Sam Green, Craig Michael Vineyard, Cetin Koc

Journal Article – 2019 Journal Article 2019

Methods for efficient deep reinforcement learning

Sam Green PhD proposal

Sam Green

https://www.osti.gov/search/identifier:1596215

Presentation (non-conference) – 2019 Presentation (non-conference) 2019

Learned P-States for High Performance Computing

Posters on the Patio

Peter Feghali, Sam Green

https://www.osti.gov/search/identifier:1806610

Conference Paper – 2018 Conference Paper 2018

Impacts of Mathematical Optimization on Reinforcement Learning

IBM, Almaden Research Center (E3-442)

Sam Green, Craig Michael Vineyard, Cetin Kaya Koc

https://www.osti.gov/search/identifier:1526126

Presentation (non-conference) – 2018 Presentation (non-conference) 2018

Introduction to Neural-Inspired Computing & Impacts for Space

SPACE COMPUTING & CONNECTED ENTERPRISE RESILIENCY CONFERENCE 2018

Craig Michael Vineyard, Sam Green

https://www.osti.gov/search/identifier:1525701

Conference Paper – 2018 Conference Paper 2018

Mathematical Optimizations for Deep Learning

Cyber-Physical Systems and Security

Sam Green, Craig Michael Vineyard, Cetin Kaya Koc (UC Santa Barbara)

https://www.osti.gov/search/identifier:1528748

Book – 2018 Book 2018

Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance

Ijcnn

Sam Green, Craig Michael Vineyard, Cetin Kaya Koc

https://www.osti.gov/search/identifier:1510571

Conference Paper – 2018 Conference Paper 2018

Reinforcement Learning Policy Performance Impacts of Pruning, Quantization, and Compression

Nice 2018

Sam Green, Craig Michael Vineyard, Cetin Kaya Koc

https://www.osti.gov/search/identifier:1498241

Conference Paper – 2018 Conference Paper 2018

Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance

Ijcnn

Sam Green, Craig Michael Vineyard, Cetin Kaya Koc

https://www.osti.gov/search/identifier:1513745

Conference Paper – 2018 Conference Paper 2018

Reinforcement Learning is Needed for Extreme Heterogeneity in Supercomputing

The Extreme Heterogeneity Workshop

Craig Michael Vineyard, Sam Green, Vitus J. Leung, Kevin Pedretti, Andrew J Younge

Abstract – 2017 Abstract 2017

Impacts of Quantization and Compression on Reinforcement Learning Policy Performance

NICE 2018Neuro-Inspired Computational Elements Workshop

Craig Michael Vineyard, Sam Green

Abstract – 2017 Abstract 2017
Document Title Type Year