Emre Ates
Emre Ates
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Title
Cited by
Cited by
Year
Diagnosing performance variations in HPC applications using machine learning
O Tuncer, E Ates, Y Zhang, A Turk, J Brandt, VJ Leung, M Egele, ...
International Supercomputing Conference, 355-373, 2017
732017
Online diagnosis of performance variation in HPC systems using machine learning
O Tuncer, E Ates, Y Zhang, A Turk, J Brandt, VJ Leung, M Egele, ...
IEEE Transactions on Parallel and Distributed Systems 30 (4), 883-896, 2018
252018
Taxonomist: Application detection through rich monitoring data
E Ates, O Tuncer, A Turk, VJ Leung, J Brandt, M Egele, AK Coskun
European Conference on Parallel Processing, 92-105, 2018
102018
HPAS: An HPC performance anomaly suite for reproducing performance variations
E Ates, Y Zhang, B Aksar, J Brandt, VJ Leung, M Egele, AK Coskun
Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019
82019
An automated, cross-layer instrumentation framework for diagnosing performance problems in distributed applications
E Ates, L Sturmann, M Toslali, O Krieger, R Megginson, AK Coskun, ...
ACM Symposium on Cloud Computing (SoCC), 2019
62019
Tangram: Colocating HPC applications with oversubscription
Q Xiong, E Ates, MC Herbordt, AK Coskun
2018 IEEE High Performance extreme Computing Conference (HPEC), 1-7, 2018
52018
Understanding Simultaneous Impact of Network QoS and Power on HPC Application Performance
T Patki, E Ates, A Coskun, JJ Thiagarajan
32018
Counterfactual explanations for machine learning on multivariate time series data
E Ates, B Aksar, VJ Leung, AK Coskun
arXiv preprint arXiv:2008.10781, 2020
22020
Praxi: Cloud Software Discovery That Learns From Practice
A Byrne, E Ates, A Turk, V Pchelin, SS Duri, S Nadgowda, C Isci, ...
IEEE Transactions on Cloud Computing, 2020
12020
Abstract for Machine Learning Approach to Understanding HPC Application Performance Variation Poster.
B Aksar, B Schwaller, O Aaziz, E Ates, J Brandt, A Coskun, M Egele, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019
2019
A Machine Learning Approach to Understanding HPC Application Performance Variation.
B Schwaller, B Aksar, OR Aaziz, E Ates, JM Brandt, A Coskun, M Egele, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2019
2019
AD for Machine Learning Approach to Understanding HPC Application Performance Variation Poster.
B Aksar, B Schwaller, OR Aaziz, E Ates, JM Brandt, A Coskun, M Egele, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2019
2019
ACM INTERNATIONAL CONFERENCE PROCEEDING SERIES
E Ates, Y Zhang, B Aksar, M Egele, AK Coskun, J Brandt, VJ Leung, R Li, ...
2019
Application Performance Insights via System Monitoring.
JM Brandt, AC Gentile, SD Hammond, J Cook, BA Allan, T Tucker, ...
Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2018
2018
Runtime HPC System and Application Performance Assessment and Diagnostics.
JM Brandt, AC Gentile, JE Cook, BA Allan, J Cook, O Aaziz, T Tucker, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018
2018
Detection and Diagnosis of Performance Variations.
O Tuncer, E Ates, Y Zhang, A Turk, JM Brandt, VJ Leung, M Egele, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018
2018
Explainable Machine Learning Frameworks for Managing HPC Systems
E Ates, B Aksar, VJ Leung, AK Coskun
A Machine Learning Approach to Understanding HPC Application Performance Variation
B Aksar, B Schwaller, O Aaziz, E Ates, J Brandt, AK Coskun, M Egele, ...
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