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Emre Ates
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Books and Theses
- 2020
- [b1]Emre Ates:
Automating telemetry- and trace-based analytics on large-scale distributed systems. Boston University, USA, 2020
Journal Articles
- 2022
- [j3]Mert Toslali, Emre Ates, Darby Huye, Zhaoqi Zhang, Lan Liu, Samantha Puterman, Ayse K. Coskun, Raja R. Sambasivan:
VAIF: Variance-driven Automated Instrumentation Framework. ACM SIGOPS Oper. Syst. Rev. 56(1): 42-50 (2022) - [j2]Anthony Byrne, Emre Ates, Ata Turk, Vladimir Pchelin, Sastry S. Duri, Shripad Nadgowda, Canturk Isci, Ayse K. Coskun:
Praxi: Cloud Software Discovery That Learns From Practice. IEEE Trans. Cloud Comput. 10(2): 872-884 (2022) - 2019
- [j1]Ozan Tuncer, Emre Ates, Yijia Zhang, Ata Turk, Jim M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun:
Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning. IEEE Trans. Parallel Distributed Syst. 30(4): 883-896 (2019)
Conference and Workshop Papers
- 2021
- [c7]Mert Toslali, Emre Ates, Alex Ellis, Zhaoqi Zhang, Darby Huye, Lan Liu, Samantha Puterman, Ayse K. Coskun, Raja R. Sambasivan:
Automating instrumentation choices for performance problems in distributed applications with VAIF. SoCC 2021: 61-75 - [c6]Burak Aksar, Yijia Zhang, Emre Ates, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim M. Brandt, Manuel Egele, Ayse K. Coskun:
Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems. ISC 2021: 195-214 - 2019
- [c5]Emre Ates, Lily Sturmann, Mert Toslali, Orran Krieger, Richard Megginson, Ayse K. Coskun, Raja R. Sambasivan:
An automated, cross-layer instrumentation framework for diagnosing performance problems in distributed applications. SoCC 2019: 165-170 - [c4]Emre Ates, Yijia Zhang, Burak Aksar, Jim M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun:
HPAS: An HPC Performance Anomaly Suite for Reproducing Performance Variations. ICPP 2019: 40:1-40:10 - 2018
- [c3]Emre Ates, Ozan Tuncer, Ata Turk, Vitus J. Leung, Jim M. Brandt, Manuel Egele, Ayse K. Coskun:
Taxonomist: Application Detection Through Rich Monitoring Data. Euro-Par 2018: 92-105 - [c2]Qingqing Xiong, Emre Ates, Martin C. Herbordt, Ayse K. Coskun:
Tangram: Colocating HPC Applications with Oversubscription. HPEC 2018: 1-7 - 2017
- [c1]Ozan Tuncer, Emre Ates, Yijia Zhang, Ata Turk, Jim M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun:
Diagnosing Performance Variations in HPC Applications Using Machine Learning. ISC 2017: 355-373
Informal and Other Publications
- 2020
- [i1]Emre Ates, Burak Aksar, Vitus J. Leung, Ayse K. Coskun:
Counterfactual Explanations for Machine Learning on Multivariate Time Series Data. CoRR abs/2008.10781 (2020)
Coauthor Index
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