Publications

Advanced Search

Results 1–25 of 41

Scope

Center for Computing Research

All Sandia Publications

Publication Type

Author

Funding Source

Current Filters Clear all

Remove author filter×

Publication	Type	Year
ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems Cluster 2022 Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Raad Aaziz, Brian Kulis, Ayse K. Coskun, Vitus J. Leung, James M. Brandt	Conference Proceeding – 2022 Conference Proceeding	2022
Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation Ieee Hpec Yijia Zhang, Burak Aksar, Omar Raad Aaziz, Benjamin Schwaller, James M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun	Conference Presentation – 2021 Conference Presentation	2021
L2 Milestone #7842 SAND Report Omar Raad Aaziz, Benjamin A. Allan, James M. Brandt, Jeanine Cook, Karen D. Devine, James Elliott, Ann C. Gentile, Simon David Hammond, Brian Michael Kelley, Lena Lopatina, Stan Gerald Moore, Stephen Lecler Olivier, Kevin Pedretti, David Zoeller Poliakoff, Roger P. Pawlowski, Phillip A Regier, Mark E Schmitz, Benjamin Schwaller, Vanessa Surjadidjaja, Matthew Scot Swan, Nick Tucker, Tom Tucker, Courtenay T. Vaughan, Sara Petra Walton https://www.osti.gov/search/identifier:1819812	SAND Report – 2021 SAND Report	2021
Integrated System and Application Continuous Performance Monitoring and Analysis Capability FY20 ASC FOUS L2 Milestone 7842 Final Review James M. Brandt, Jeanine Cook, Omar Raad Aaziz, Benjamin A. Allan, Karen D. Devine, James John Elliott, Ann C. Gentile, Simon David Hammond, Brian Michael Kelley, Lena Lopatina, Stan Gerald Moore, Stephen Lecler Olivier, Kevin Pedretti, David Zoeller Poliakoff, Roger P. Pawlowski, Phillip A Regier, Mark E Schmitz, Benjamin Schwaller, Vanessa Surjadidjaja, Matthew Scot Swan, Tom Tucker, Nick Tucker, Courtenay T. Vaughan, Sara Petra Walton	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation Ieee Hpec Yijia Zhang, Burak Aksar, Omar Raad Aaziz, Benjamin Schwaller, James M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun	Conference Proceeding – 2021 Conference Proceeding	2021
E2EWatch: End-to-end Anomaly Diagnosis Framework for Production HPC Systems Euro-Par 2021 Burak Aksar, Yijia Zhang, Emre Ates, Omar Raad Aaziz, Benjamin Schwaller, James M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun	Conference Presentation – 2021 Conference Presentation	2021
E2EWatch: End-to-end Anomaly Diagnosis Framework for Production HPC Systems Euro-Par 2021 Burak Aksar, Yijia Zhang, Emre Ates, Omar Raad Aaziz, Benjamin Schwaller, James M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun https://www.osti.gov/search/identifier:1873069	Conference Paper – 2021 Conference Paper	2021
Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems ISC High Performance Burak Aksar, Yijia Zhang, Emre Ates, Benjamin Schwaller, Omar Raad Aaziz, Vitus J. Leung, James M. Brandt, Manuel Egele, Ayse K. Coskun https://www.osti.gov/search/identifier:1866057	Conference Proceeding – 2021 Conference Proceeding	2021
Enabling Application and System Data Fusion ECP Annual Meeting Ann C. Gentile, James M. Brandt, Jeanine Cook, Simon David Hammond, David Zoeller Poliakoff, Benjamin Schwaller, Vanessa Surjadidjaja, Thomas Owen Tucker https://www.osti.gov/search/identifier:1863505	Conference Presentation – 2021 Conference Presentation	2021
Attributing Performance Variation from Integrated Application and System Data Applied Computer Science Meeting Omar Raad Aaziz, Benjamin A. Allan, James M. Brandt, Jeanine Cook, Karen D. Devine, James John Elliott, Ann C. Gentile, Stephen Lecler Olivier, Kevin Pedretti, Tom Tucker https://www.osti.gov/search/identifier:1765520	Conference Paper – 2020 Conference Paper	2020
A Machine Learning Approach to Understanding HPC Application Performance Variation Supercomputing Conference Benjamin Schwaller, Burak Aksar, Omar Raad Aaziz, Emre Ates, James M. Brandt, Ayse Coskun, Manuel Egele, Vitus J. Leung https://www.osti.gov/search/identifier:1642784	Conference Paper – 2019 Conference Paper	2019
AD for Machine Learning Approach to Understanding HPC Application Performance Variation Poster Supercomputing Conference Burak Aksar, Benjamin Schwaller, Omar Raad Aaziz, Emre Ates, James M. Brandt, Ayse Coskun, Manuel Egele, Vitus J. Leung https://www.osti.gov/search/identifier:1642788	Conference Paper – 2019 Conference Paper	2019
Design, Installation, and Operation of the Vortex ART Platform Nathan Edward Gauntt, Kevin Duvall Davis, Jason John Repik, James M. Brandt, Ann C. Gentile, Simon David Hammond https://www.osti.gov/search/identifier:1562796	Report – 2019 Report	2019
Taxonomist: Application Detection through Rich Monitoring Data Machine Learning Course Emre Ates, Ozan Tuncer, Ata Turk, Vitus J. Leung, James M. Brandt, Manuel Egele, Ayse K. Coskun https://www.osti.gov/search/identifier:1645517	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
Large-Scale System Monitoring Experiences and Recommendations Workshop on Monitoring and Analysis for High Performance Compute Systems Plus Applications V. Ahlgren, S. Andersson, James M. Brandt, N. Cardo, S. Chunduri, J. Enos, P. Fields, Ann C. Gentile, R. Gerber, M. Gienger, J. Greenseid, A. Greiner, B. Hadri, Y. He, D. Hoppe, U. Kaila, K. Kelly, M. Klein, A. Kristiansen, S. Leak, M. Mason, Kevin Pedretti, J-G. Piccinali, Jason John Repik, J. Rogers, S. Salminen, M. Showerman, C. Whitney, J. Williams https://www.osti.gov/search/identifier:1592263	Conference Paper – 2018 Conference Paper	2018
Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning IEEE Transactions on Parallel and Distributed Systems Ozan Tuncer, Emre Ates, Yijia Zhang, Ata Turk, James M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun https://www.osti.gov/search/identifier:1474092	Journal Article – 2018 Journal Article	2018
Large-Scale System Monitoring Experiences and Recommendations Workshop on Monitoring and Analysis for High Performance Compute Systems Plus Applications V. Ahlgren, S. Andersson, James M. Brandt, N. Cardo, S. Chunduri, J. Enos, P. Fields, Ann C. Gentile, R. Gerber, M. Gienger, J. Greenseid, A. Greiner, B. Hadri, Y. He, D. Hoppe, U. Kaila, K. Kelly, M. Klein, A. Kristiansen, S. Leak, M. Mason, Kevin Pedretti, J-G. Piccinali, Jason John Repik, J. Rogers, S. Salminen, M. Showerman, C. Whitney, J. Williams https://www.osti.gov/search/identifier:1576168	Conference Paper – 2018 Conference Paper	2018
Application Performance Insights via System Monitoring Jowog-34 James M. Brandt, Ann C. Gentile, Simon David Hammond, Jeanine Cook, Benjamin A. Allan, Thomas Tucker, Nichamon Naksinehaboon, Narate Taerat, Jonathan Cook, Omar Raad Aaziz, Emre Ates, Ozan Tuncer, Manuel Egele, Ata Turk, Ayse Coskun, Ramin Izadpanah, Damian Dechev https://www.osti.gov/search/identifier:1532642	Presentation (non-conference) – 2018 Presentation (non-conference)	2018
Taxonimist: Application Detection through Rich Monitoring Data Euro-Par Emre Ates, Ozan Tuncer, Ata Turk, Vitus J. Leung, James M. Brandt, Manuel Egele, Ayse K. Coskun https://www.osti.gov/search/identifier:1526818	Conference Paper – 2018 Conference Paper	2018
Runtime HPC System and Application Performance Assessment and Diagnostics Conference on Data Analysis James M. Brandt, Ann C. Gentile, Jonathan Edwin Cook, Benjamin A. Allan, Jeanine Cook, Omar Raad Aaziz, Thomas Tucker, Naksinehaboon Nichamon, Narate Taerat, Emre Ates, Ozan Tuncer, Manuel Egele, Ata Turk, Ayse Coskun https://www.osti.gov/search/identifier:1500155	Conference Paper – 2018 Conference Paper	2018
Detection and Diagnosis of Performance Variations Potential discussion with Susan Seestrom on AI/ML Ozan Tuncer, Emre Ates, Yijia Zhang, Ata Turk, James M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun https://www.osti.gov/search/identifier:1497230	Presentation (non-conference) – 2018 Presentation (non-conference)	2018
Enhanced Profiling for Kokkos Applications Applied Computer Science Multi-Lab Meeting Simon David Hammond, Christian Robert Trott, Daniel Alejandro Ibanez-Granados, Harold C. Edwards, Daniel Sunderland, Nathan David Ellingwood, James M. Brandt, Ann C. Gentile, Jeanine Cook, Robert J. Hoekstra https://www.osti.gov/search/identifier:1495756	Conference Paper – 2018 Conference Paper	2018
Continuous Performance Tracking for Kokkos Applications Using LDMS Programming Models and Co-Design Meeting James M. Brandt, Simon David Hammond, Thomas Tucker, Ann C. Gentile, Jeanine Cook https://www.osti.gov/search/identifier:1495760	Presentation (non-conference) – 2018 Presentation (non-conference)	2018
Diagnosing Performance Variations in HPC Applications Using Machine Learning Csss Ozan Tuncer, Emre Ates, Yijia Zhang, Ata Turk, James M. Brandt, Vitus J. Leung, Manuel Egele, Ayse Coskun https://www.osti.gov/search/identifier:1510194	Presentation (non-conference) – 2017 Presentation (non-conference)	2017
Task Placement to Reduce Application Communication Costs Sandia CIS External Review Board Karen D. Devine, James M. Brandt, Mehmet Deveci, Ann C. Gentile, Vitus J. Leung, Stephen Lecler Olivier, Kevin Pedretti, Sivasankaran Rajamanickam, Mark Alan Taylor https://www.osti.gov/search/identifier:1467790	Presentation (non-conference) – 2017 Presentation (non-conference)	2017
Document Title	Type	Year

Results 1–25 of 41

Publications

ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems

Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation

L2 Milestone #7842 SAND Report

Integrated System and Application Continuous Performance Monitoring and Analysis Capability

Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation

E2EWatch: End-to-end Anomaly Diagnosis Framework for Production HPC Systems

E2EWatch: End-to-end Anomaly Diagnosis Framework for Production HPC Systems

Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems

Enabling Application and System Data Fusion

Attributing Performance Variation from Integrated Application and System Data

A Machine Learning Approach to Understanding HPC Application Performance Variation

AD for Machine Learning Approach to Understanding HPC Application Performance Variation Poster

Design, Installation, and Operation of the Vortex ART Platform

Taxonomist: Application Detection through Rich Monitoring Data

Large-Scale System Monitoring Experiences and Recommendations

Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning

Large-Scale System Monitoring Experiences and Recommendations

Application Performance Insights via System Monitoring

Taxonimist: Application Detection through Rich Monitoring Data

Runtime HPC System and Application Performance Assessment and Diagnostics

Detection and Diagnosis of Performance Variations

Enhanced Profiling for Kokkos Applications

Continuous Performance Tracking for Kokkos Applications Using LDMS

Diagnosing Performance Variations in HPC Applications Using Machine Learning

Task Placement to Reduce Application Communication Costs