Emre Ates

According to our database, Emre Ates authored at least 12 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Praxi: Cloud Software Discovery That Learns From Practice.

Anthony Byrne, Emre Ates, Ata Turk, Vladimir Pchelin, Sastry S. Duri, Shripad Nadgowda, Canturk Isci, Ayse K. Coskun

IEEE Trans. Cloud Comput., 2022

VAIF: Variance-driven Automated Instrumentation Framework.

Mert Toslali, Emre Ates, Darby Huye, Zhaoqi Zhang, Lan Liu, Samantha Puterman, Ayse K. Coskun, Raja R. Sambasivan

ACM SIGOPS Oper. Syst. Rev., 2022

2021

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

Burak Aksar, Yijia Zhang, Emre Ates, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim M. Brandt, Manuel Egele, Ayse K. Coskun

Proceedings of the High Performance Computing - 36th International Conference, 2021

Automating instrumentation choices for performance problems in distributed applications with VAIF.

Mert Toslali, Emre Ates, Alex Ellis, Zhaoqi Zhang, Darby Huye, Lan Liu, Samantha Puterman, Ayse K. Coskun, Raja R. Sambasivan

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2020

Automating telemetry- and trace-based analytics on large-scale distributed systems

Emre Ates

PhD thesis, 2020

Counterfactual Explanations for Machine Learning on Multivariate Time Series Data.

Emre Ates, Burak Aksar, Vitus J. Leung, Ayse K. Coskun

CoRR, 2020

2019

Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning.

Ozan Tuncer, Emre Ates, Yijia Zhang, Ata Turk, Jim M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun

IEEE Trans. Parallel Distributed Syst., 2019

HPAS: An HPC Performance Anomaly Suite for Reproducing Performance Variations.

Emre Ates, Yijia Zhang, Burak Aksar, Jim M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun

Proceedings of the 48th International Conference on Parallel Processing, 2019

An automated, cross-layer instrumentation framework for diagnosing performance problems in distributed applications.

Emre Ates, Lily Sturmann, Mert Toslali, Orran Krieger, Richard Megginson, Ayse K. Coskun, Raja R. Sambasivan

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018

Tangram: Colocating HPC Applications with Oversubscription.

Qingqing Xiong, Emre Ates, Martin C. Herbordt, Ayse K. Coskun

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Taxonomist: Application Detection Through Rich Monitoring Data.

Emre Ates, Ozan Tuncer, Ata Turk, Vitus J. Leung, Jim M. Brandt, Manuel Egele, Ayse K. Coskun

Proceedings of the Euro-Par 2018: Parallel Processing, 2018

2017

Diagnosing Performance Variations in HPC Applications Using Machine Learning.

Ozan Tuncer, Emre Ates, Yijia Zhang, Ata Turk, Jim M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun

Proceedings of the High Performance Computing - 32nd International Conference, 2017