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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
Concise ML Explanations Nsard Vitus J. Leung	Presentation (non-conference) – 2022 Presentation (non-conference)	2022
Concise ML Explanations Nsard Vitus J. Leung	Display or Poster (non-conference) – 2022 Display or Poster (non-conference)	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
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
Strategies for Matching Process Models to Observational Data 89th MORS Symposium William Eugene Hart, Vitus J. Leung https://www.osti.gov/search/identifier:1876708	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
CoMTE: Counterfactual Explanations for Multivariate Time Series ICAPAI 2021 International Conference on Applied Artificial Intelligence Emre Ates, Burak Aksar, Ayse K. Coskun, Vitus J. Leung https://www.osti.gov/search/identifier:1866905	Conference Presentation – 2021 Conference Presentation	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
Counterfactual Explanations for Multivariate Time Series ICAPAI 2021 International Conference on Applied Artificial Intelligence Emre Ates, Burak Aksar, Vitus J. Leung, Ayse K. Coskun https://www.osti.gov/search/identifier:1864134	Conference Proceeding – 2021 Conference Proceeding	2021
Explainable Machine Learning Frameworks for Managing HPC Systems MLCS 2020 at SC 2020 Emre Ates, Burak Aksar, Vitus J. Leung, Ayse K. Coskun https://www.osti.gov/search/identifier:1829224	Conference Presentation – 2020 Conference Presentation	2020
Explainable Machine Learning Frameworks for Managing HPC Systems 2nd workshop on Machine Learning for Computing Systems Emre Ates, Burak Aksar, Vitus J. Leung, Ayse K. Coskun https://www.osti.gov/search/identifier:1830968	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
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
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
Level-Spread: A New Job Allocation Policy for Dragonfly Networks Padal Yijia Zhang, Ozan Tuncer, Fulya Kaplan, Katzalin Olcoz, Vitus J. Leung, Ayse K. Coskun https://www.osti.gov/search/identifier:1641012	Conference Paper – 2019 Conference Paper	2019
Statistical Models of Dengue Fever AusDM 2018The 16th Australasian Data Mining Conference Hamilton E. Link, Samuel N. Richter, Vitus J. Leung, Randolph Brost, Cynthia Ann Phillips, Andrea Staid https://www.osti.gov/search/identifier:1575150	Conference Paper – 2018 Conference Paper	2018
Statistical Models of Dengue Fever The 16th Australasian Data Mining Conference (AusDM 2018) Hamilton E. Link, Samuel N. Richter, Vitus J. Leung, Randolph Brost, Cynthia Ann Phillips, Andrea Staid https://www.osti.gov/search/identifier:1593591	Conference Paper – 2018 Conference Paper	2018
Adverse Event Prediction Using Graph-Augmented Temporal Analysis: Final Report Randolph Brost, Erin E. Carrier, Michelle Carroll, Katrina M. Groth, William Philip Kegelmeyer, Vitus J. Leung, Hamilton E. Link, Andrew John Patterson, Cynthia Ann Phillips, Samuel Richter, David G. Robinson, Andrea Staid, Diane M.-K. Woodbridge https://www.osti.gov/search/identifier:1530166	SAND Report – 2018 SAND Report	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
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
Level-Spread: A New Job Allocation Policy for Dragonfly Networks IPDPS - IEEE International Parallel & Distributed Processing Symposium Yijia Zhang, Ozan Tuncer, Fulya Kaplan, Katzalin Olcoz, Vitus J. Leung, Ayse K. Coskun https://www.osti.gov/search/identifier:1499224	Conference Paper – 2018 Conference Paper	2018
Event Prediction Using Graph-Augmented Temporal Analysis CoDA 2018Conference on Data Analytics Randolph Brost, Vitus J. Leung, Hamilton E. Link, Cynthia Ann Phillips, Andrea Staid https://www.osti.gov/search/identifier:1498238	Conference Paper – 2018 Conference Paper	2018
Document Title	Type	Year

Results 1–25 of 103

Publications

ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems

Concise ML Explanations

Concise ML Explanations

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

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

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

Strategies for Matching Process Models to Observational Data

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

CoMTE: Counterfactual Explanations for Multivariate Time Series

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

Counterfactual Explanations for Multivariate Time Series

Explainable Machine Learning Frameworks for Managing HPC Systems

Explainable Machine Learning Frameworks for Managing HPC Systems

A Machine Learning Approach to Understanding HPC Application Performance Variation

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

Machine Learning for System Software ? Can Computers Manage Computers?

Taxonomist: Application Detection through Rich Monitoring Data

Level-Spread: A New Job Allocation Policy for Dragonfly Networks

Statistical Models of Dengue Fever

Statistical Models of Dengue Fever

Adverse Event Prediction Using Graph-Augmented Temporal Analysis: Final Report

Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning

Taxonimist: Application Detection through Rich Monitoring Data

Level-Spread: A New Job Allocation Policy for Dragonfly Networks

Event Prediction Using Graph-Augmented Temporal Analysis