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Publication	Type	Year
ExaLearn ? GenTen Tensor Software ECP Milestone Hemanth Kolla, Eric T. Phipps, Michael Wolf https://www.osti.gov/search/identifier:1876624	Report – 2022 Report	2022
Parallel Memory-Efficient Computation of Symmetric Higher-Order Joint Moment Tensors The Platform for Advanced Scientific Computing (PASC) Conference Zitong Li, Hemanth Kolla, Eric T. Phipps	Conference Presentation – 2022 Conference Presentation	2022
Parallel Memory-Efficient Computation of Symmetric Higher-Order Joint Moment Tensors The Platform for Advanced Scientific Computing (PASC) Conference Zitong Li, Hemanth Kolla, Eric T. Phipps	Conference Paper – 2022 Conference Paper	2022
Split Bregman optimizer for online generalized CP tensor decomposition CSRI 2021 Student Intern Poster Blitz Kyle Gilman, Eric T. Phipps, Hemanth Kolla	Display or Poster (non-conference) – 2021 Display or Poster (non-conference)	2021
In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms Artificial Intelligence for Robust Engineering & Science Warren Leon Davis IV, Timothy Malcolm Shead, Hemanth Kolla, Kevin Reed, William Philip Kegelmeyer, Gabriel ANUOLUWAPO Popoola https://www.osti.gov/search/identifier:1762271	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
The Potential of Integrated Machine Learning Algorithms for Tropical Cyclone Detection in Advanced Climate Modeling American Geophysical Union Fall Conference 2019 Warren Leon Davis IV, Timothy M. Shead, Hemanth Kolla, Gabriel ANUOLUWAPO Popoola, William Philip Kegelmeyer, Aditya Konduri https://www.osti.gov/search/identifier:1643419	Conference Paper – 2019 Conference Paper	2019
A Framework for In-Situ Anomaly Detection in HPC Environments Supercomputing 2019 Timothy Malcolm Shead, Hemanth Kolla, Aditya Konduri, Gabriel Papoola, Warren Leon Davis, Daniel Dunlavy, Kevin Reed https://www.osti.gov/search/identifier:1642180	Conference Paper – 2019 Conference Paper	2019
In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms 2019 Cis Erb Warren Leon Davis, Timothy Malcolm Shead, Hemanth Kolla, William Philip Kegelmeyer, Gabriel ANUOLUWAPO Popoola, Kevin Reed https://www.osti.gov/search/identifier:1645860	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
The Potential of In-Situ Machine Learning Algorithms for Tropical Cyclone Detection in Advanced Climate Modeling American Geophysical Union Fall Meeting 2019 Warren Leon Davis, Kevin Reed, Timothy Malcolm Shead, Hemanth Kolla, Gabriel ANUOLUWAPO Popoola, William Philip Kegelmeyer, Aditya Konduri, Julia Ling	Abstract – 2019 Abstract	2019
A Framework for In-Situ Anomaly Detection in HPC Environments Ldav 2019 Timothy Malcolm Shead, Daniel Dunlavy, Hemanth Kolla, Aditya Konduri, Gabriel ANUOLUWAPO Popoola, Warren Leon Davis, William Philip Kegelmeyer, Kevin Reed, Julia Ling https://www.osti.gov/search/identifier:1640853	Conference Paper – 2019 Conference Paper	2019
SNL ATDM: In-situ Compression with ParaView/TuckerMPI ECP Annual Meeting Hemanth Kolla, Ron A. Oldfield, Thomas Jay Otahal, Gavin Matthew Baker, Jeffrey A. Mauldin, Tamara G. Kolda, Kenneth D. Moreland https://www.osti.gov/search/identifier:1807003	Conference Paper – 2018 Conference Paper	2018
October 2018 ECP ST Project Review: STDV04-SNL ATDM Data and Visualization Projects WBS 2.3.4.04 ECP Software Technologies Review Ron A. Oldfield, Craig D. Ulmer, Gregory D. Sjaardema, Hemanth Kolla, Kenneth D. Moreland	Presentation (non-conference) – 2018 Presentation (non-conference)	2018
Detection of extreme events in turbulent flows Perspectives on Turbulence Aditya Konduri, Hemanth Kolla, Warren Leon Davis	Abstract – 2018 Abstract	2018
Embedding Python for In-Situ Analysis Daniel Dunlavy, Timothy Malcolm Shead, Daniel Dunlavy, Aditya Konduri, Hemanth Kolla, Daniel Dunlavy, William Philip Kegelmeyer, Warren Leon Davis https://www.osti.gov/search/identifier:1734473	SAND Report – 2018 SAND Report	2018
Anomaly detection in scientific data using joint statistical ArXiv Aditya Konduri, Hemanth Kolla, William Philip Kegelmeyer, Timothy Malcolm Shead, Julia Ling, Warren Leon Davis https://www.osti.gov/search/identifier:1502456	Journal Article – 2018 Journal Article	2018
In-Situ Machine Learning for Intelligent Data Capture in HPC Simulations CIS External Advisory Board Meeting Warren Leon Davis, Daniel Dunlavy, William Philip Kegelmeyer, Hemanth Kolla, Aditya Konduri, Timothy Malcolm Shead, Kevin Reed https://www.osti.gov/search/identifier:1524824	Conference Paper – 2018 Conference Paper	2018
ECP ST Capability Assesment Report SNL ATDM Vis Kenneth D. Moreland, Hemanth Kolla https://www.osti.gov/search/identifier:1528839	Report – 2018 Report	2018
Higher Order Joint Moment Tensor Decomposition SIAM Conference on Parallel Processing for Scientific Computing Hemanth Kolla, Aditya Konduri, Prashant Rai, Tamara G. Kolda, Warren Leon Davis https://www.osti.gov/search/identifier:1499845	Conference Paper – 2018 Conference Paper	2018
Event Detection In Multi-variate Scientific Simulations Using Feature Anomaly Metrics SIAM Conference on Parallel Processing for Scientific Computing (PP18) Aditya Konduri, Hemanth Kolla, Julia Ling, William Philip Kegelmeyer, Daniel Dunlavy, Timothy Malcolm Shead, Warren Leon Davis https://www.osti.gov/search/identifier:1499084	Conference Paper – 2018 Conference Paper	2018
Particle in Cell Algorithms and Codes Toward the Next Generation Architectures Gec 2017 Aram Markosyan, Matthew Tyler Bettencourt, Janine Camille Bennett, Jonathan Josiah Lifflander, David S Hollman, Jeremiah J Wilke, Hemanth Kolla, Christopher Hudson Moore, Robert L. Clay https://www.osti.gov/search/identifier:1510704	Conference Paper – 2017 Conference Paper	2017
ASC ATDM Level 2 Milestone #6015: Asynchronous Many-Task Software Stack Demonstration Janine Camille Bennett, Matthew Tyler Bettencourt, Robert L. Clay, Harold C. Edwards, Micheal W. Glass, David S Hollman, Hemanth Kolla, Jonathan Josiah Lifflander, David John Littlewood, Aram Markosyan, Stan Gerald Moore, Stephen Lecler Olivier, Eric T. Phipps, Francesco NMN Rizzi, Nicole Slattengren, Daniel Sunderland, Jeremiah J Wilke https://www.osti.gov/search/identifier:1596197	SAND Report – 2017 SAND Report	2017
Exploring DARMA Abstraction Layer for PIC and DSMC Kernels on Next Generation Platforms Dsmc 2017 Aram Markosyan, Matthew Tyler Bettencourt, Janine Camille Bennett, Jonathan Josiah Lifflander, David S Hollman, Jeremiah J Wilke, Hemanth Kolla, Christopher Hudson Moore, Robert L. Clay https://www.osti.gov/search/identifier:1471459	Conference Paper – 2017 Conference Paper	2017
Exploring DARMA Abstraction Layer for PIC and DSMC Kernels on Next Generation Platforms Dsmc 2017 Aram Markosyan, Matthew Tyler Bettencourt, Janine Camille Bennett, Jonathan Josiah Lifflander, David S Hollman, Jeremiah J Wilke, Hemanth Kolla, Christopher Hudson Moore, Robert L. Clay https://www.osti.gov/search/identifier:1467989	Conference Paper – 2017 Conference Paper	2017
Embedding Python for In-Situ Analysis In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization Timothy Malcolm Shead, Aditya Konduri, Hemanth Kolla, Daniel Dunlavy, William Philip Kegelmeyer https://www.osti.gov/search/identifier:1467787	Conference Paper – 2017 Conference Paper	2017
Tackling UQ in DARMA, a Programming Model for Task-Based Execution at Extreme-Scale Quiet17 Francesco NMN Rizzi, Eric T. Phipps, David S Hollman, Jonathan Josiah Lifflander, Jeremiah J Wilke, Aram Markosyan, Hemanth Kolla, Nicole Slattengren, Keita Teranishi, James R. Stewart, Robert L. Clay, Janine Camille Bennett https://www.osti.gov/search/identifier:1507896	Conference Paper – 2017 Conference Paper	2017
Document Title	Type	Year

Results 1–25 of 48

Publications

ExaLearn ? GenTen Tensor Software ECP Milestone

Parallel Memory-Efficient Computation of Symmetric Higher-Order Joint Moment Tensors

Parallel Memory-Efficient Computation of Symmetric Higher-Order Joint Moment Tensors

Split Bregman optimizer for online generalized CP tensor decomposition

In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms

The Potential of Integrated Machine Learning Algorithms for Tropical Cyclone Detection in Advanced Climate Modeling

A Framework for In-Situ Anomaly Detection in HPC Environments

In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms

The Potential of In-Situ Machine Learning Algorithms for Tropical Cyclone Detection in Advanced Climate Modeling

A Framework for In-Situ Anomaly Detection in HPC Environments

SNL ATDM: In-situ Compression with ParaView/TuckerMPI

October 2018 ECP ST Project Review: STDV04-SNL ATDM Data and Visualization Projects WBS 2.3.4.04

Detection of extreme events in turbulent flows

Embedding Python for In-Situ Analysis

Anomaly detection in scientific data using joint statistical

In-Situ Machine Learning for Intelligent Data Capture in HPC Simulations

ECP ST Capability Assesment Report SNL ATDM Vis

Higher Order Joint Moment Tensor Decomposition

Event Detection In Multi-variate Scientific Simulations Using Feature Anomaly Metrics

Particle in Cell Algorithms and Codes Toward the Next Generation Architectures

ASC ATDM Level 2 Milestone #6015: Asynchronous Many-Task Software Stack Demonstration

Exploring DARMA Abstraction Layer for PIC and DSMC Kernels on Next Generation Platforms

Exploring DARMA Abstraction Layer for PIC and DSMC Kernels on Next Generation Platforms

Embedding Python for In-Situ Analysis

Tackling UQ in DARMA, a Programming Model for Task-Based Execution at Extreme-Scale