| Diagnosing performance variations in HPC applications using machine learning O Tuncer, E Ates, Y Zhang, A Turk, J Brandt, VJ Leung, M Egele, ... High Performance Computing: 32nd International Conference, ISC High …, 2017 | 139 | 2017 |
| Counterfactual explanations for multivariate time series E Ates, B Aksar, VJ Leung, AK Coskun 2021 international conference on applied artificial intelligence (ICAPAI), 1-8, 2021 | 100 | 2021 |
| 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 | 91 | 2018 |
| Taxonomist: Application detection through rich monitoring data E Ates, O Tuncer, A Turk, VJ Leung, J Brandt, M Egele, AK Coskun Euro-Par 2018: Parallel Processing: 24th International Conference on …, 2018 | 37 | 2018 |
| 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 | 36 | 2019 |
| 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 | 31 | 2019 |
| 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 | 24 | 2018 |
| Automating instrumentation choices for performance problems in distributed applications with VAIF M Toslali, E Ates, A Ellis, Z Zhang, D Huye, L Liu, S Puterman, AK Coskun, ... Proceedings of the ACM Symposium on Cloud Computing, 61-75, 2021 | 19 | 2021 |
| Proctor: A semi-supervised performance anomaly diagnosis framework for production hpc systems B Aksar, Y Zhang, E Ates, B Schwaller, O Aaziz, VJ Leung, J Brandt, ... High Performance Computing: 36th International Conference, ISC High …, 2021 | 18 | 2021 |
| Praxi: Cloud Software Discovery That Learns From Practice A Byrne, E Ates, A Turk, V Pchelin, S Duri, S Nadgowda, C Isci, ... IEEE Transactions on Cloud Computing 10 (2), 872-884, 2020 | 7 | 2020 |
| Artifact for Taxonomist: Application Detection through Rich Monitoring Data E Ates, O Tuncer, A Turk, VJ Leung, J Brandt, M Egele, AK Coskun Aug, 2018 | 5 | 2018 |
| Understanding Simultaneous Impact of Network QoS and Power on HPC Application Performance T Patki, E Ates, A Coskun, JJ Thiagarajan | 5 | 2018 |
| Explainable Machine Learning Frameworks for Managing HPC Systems. E Ates, B Aksar, VJ Leung, AK Coskun Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | 3 | 2020 |
| 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 | 2 | 2018 |
| Comte: counterfactual explanations for supervised machine learning frameworks on multivariate time series data VJ Leung, E Ates, B Aksar, AK Coskun Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | 1 | 2021 |
| 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 | 1 | 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 | 1 | 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 | 1 | 2018 |
| VAIF: Variance-driven Automated Instrumentation Framework M Toslali, E Ates, D Huye, Z Zhang, L Liu, S Puterman, AK Coskun, ... ACM SIGOPS Operating Systems Review 56 (1), 42-50, 2022 | | 2022 |
| CoMTE: Counterfactual Explanations for Multivariate Time Series. E Ates, B Aksar, AK Coskun, VJ Leung Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | | 2021 |
Ayse K CoskunProfessor in ECE Department, Boston UniversityVerified email at bu.edu
