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Emre Ates
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2020 – today
- 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
Praxi: Cloud Software Discovery That Learns From Practice. IEEE Trans. Cloud Comput. 10(2): 872-884 (2022) - 2021
- [c7]Mert Toslali, Emre Ates, Alex Ellis, Zhaoqi Zhang, Darby Huye, Lan Liu, Samantha Puterman, Ayse K. Coskun
Automating instrumentation choices for performance problems in distributed applications with VAIF. SoCC 2021: 61-75 - [c6]Burak Aksar
Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems. ISC 2021: 195-214 - 2020
- [b1]Emre Ates:
Automating telemetry- and trace-based analytics on large-scale distributed systems. Boston University, USA, 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)
2010 – 2019
- 2019
- [j1]Ozan Tuncer
Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning. IEEE Trans. Parallel Distributed Syst. 30(4): 883-896 (2019) - [c5]Emre Ates
An automated, cross-layer instrumentation framework for diagnosing performance problems in distributed applications. SoCC 2019: 165-170 - [c4]Emre Ates
HPAS: An HPC Performance Anomaly Suite for Reproducing Performance Variations. ICPP 2019: 40:1-40:10 - 2018
- [c3]Emre Ates
Taxonomist: Application Detection Through Rich Monitoring Data. Euro-Par 2018: 92-105 - [c2]Qingqing Xiong, Emre Ates
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
Coauthor Index
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