Publications

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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