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Center for Computing Research

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Publication	Type	Year
Accelerating Finite-temperature Kohn-Sham Density Functional Theory\ with Deep Neural Networks John Ellis, Attila cangi, Normand A. Modine, John Adam Stephens, Aidan P. Thompson, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1677521	Report – 2020 Report	2020
Accelerating Multiscale Materials Modeling with Machine Learning ORNL Seminar John Ellis https://www.osti.gov/search/identifier:1808782	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization KDD20 Conference Gordon Euhyun Moon, John Ellis, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan https://www.osti.gov/search/identifier:1808262	Conference Paper – 2020 Conference Paper	2020
miniGAN: A Generative Adversarial Network proxy application John Ellis https://www.osti.gov/search/identifier:1763585	Report – 2020 Report	2020
Accelerating Multiscale Materials Modeling with Machine Learning Invited Oak Ridge National Laboratory Seminar John Ellis	Abstract – 2020 Abstract	2020
ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization KDD20 Conference Gordon Euhyun Moon, John Ellis, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan https://www.osti.gov/search/identifier:1798068	Conference Paper – 2020 Conference Paper	2020
ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization KDD20 Conference Gordon Euhyun Moon, John Ellis, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan https://www.osti.gov/search/identifier:1807411	Conference Paper – 2020 Conference Paper	2020
Accelerating Multiscale Materials Modeling with Machine Learning Cerebras Online Collaboration John Ellis, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1787726	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
Scalable Inference for Sparse Deep Neural Networks using Kokkos Kernels 2019 IEEE High Performance Extreme Computing Conference John Ellis, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1787727	Conference Paper – 2020 Conference Paper	2020
ECP Report: Update on Proxy Applications and Vendor Interactions Jim Ang, Christine Sweeney, Michael Wolf, John Ellis, Sayan Ghosh, Ai Kagawa, Yunzhi Huang, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Shinjae Yoo https://www.osti.gov/search/identifier:1608914	Report – 2020 Report	2020
miniGAN: a proxy application for generative adversarial networks John Ellis	Marketing or Promotional – 2020 Marketing or Promotional	2020
Task Placement for E3SM to Reduce Communication on Current HPC Platforms Fifth Workshop on Coupling Technologies for Earth System Models John Ellis, Karen D. Devine	Abstract – 2019 Abstract	2019
Task Placement for Improvement of Parallel Scalability E3SM All-Hands Meeting John Ellis, Karen D. Devine https://www.osti.gov/search/identifier:1643629	Conference Paper – 2019 Conference Paper	2019
Scalable Inference for Sparse Deep Neural Networks using Kokkos Kernels IEEE High Performance Extreme Computing Conference John Ellis, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1641901	Conference Paper – 2019 Conference Paper	2019
Scalable inference for sparse neural networks using Kokkos Kernels IEEE HPEC Conference John Ellis, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1641204	Conference Paper – 2019 Conference Paper	2019
Reducing E3SM Communication through Task Mapping E3SM All-hands Meeting John Ellis, Karen D. Devine https://www.osti.gov/search/identifier:1644555	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
Understanding the Machine Learning Needs of ECP Applications John Ellis, Sivasankaran Rajamanickam https://www.osti.gov/search/identifier:1491603	Report – 2019 Report	2019
Document Title	Type	Year