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2020 – today
- 2024
[j2]Burak Aksar
, Efe Sencan, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim M. Brandt, Brian Kulis, Manuel Egele, Ayse K. Coskun:
Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning. IEEE Trans. Parallel Distributed Syst. 35(4): 693-706 (2024)- 2023
- [c17]Kenneth Lamar, Alexander V. Goponenko, Omar Aaziz, Benjamin A. Allan, James M. Brandt, Damian Dechev:
Evaluating HPC Job Run Time Predictions Using Application Input Parameters. DEBS 2023: 127-138 - [c16]Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim M. Brandt, Brian Kulis, Manuel Egele, Ayse K. Coskun:
Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems. SC 2023: 26:1-26:14 - 2022
- [c15]Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim M. Brandt, Brian Kulis, Ayse K. Coskun:
ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems. CLUSTER 2022: 369-380 - [c14]Omar Aaziz, Mohammad Al-Tahat, Strahinja Trecakov, Jonathan Cook:
IncProf: Efficient Source-Oriented Phase Identification for Application Behavior Understanding. CLUSTER 2022: 616-625 - [c13]Sara Walton, Omar Aaziz, Ana Luisa Veroneze Solórzano, Benjamin Schwaller:
LDMS Darshan Connector: For Run Time Diagnosis of HPC Application I/O Performance. CLUSTER 2022: 626-634 - 2021
- [c12]Burak Aksar, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim M. Brandt, Manuel Egele, Ayse K. Coskun:
E2EWatch: An End-to-End Anomaly Diagnosis Framework for Production HPC Systems. Euro-Par 2021: 70-85 - [c11]Yijia Zhang, Burak Aksar, Omar Aaziz, Benjamin Schwaller, Jim M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun:
Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation. HPEC 2021: 1-7 - [c10]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 - 2020
- [c9]Richard F. Barrett, Jeanine E. Cook, Stephen L. Olivier, Omar Aaziz, Christipher D. Jenkins, Courtenay T. Vaughan:
Exploring Chapel Productivity Using Some Graph Algorithms. IPDPS Workshops 2020: 672
2010 – 2019
- 2019
- [c8]Omar Aaziz, Jeanine E. Cook, Courtenay Vaughan, David Richards:
Proxy or Imposter? A Method and Case Study to Determine the Answer. CLUSTER 2019: 1-9 - [c7]Omar Aaziz, Courtenay Vaughan, Jonathan E. Cook, Jeanine E. Cook, Jeffery Kuehn, David Richards:
Fine-Grained Analysis of Communication Similarity between Real and Proxy Applications. PMBS@SC 2019: 93-102 - 2018
- [c6]Omar Aaziz, Jeanine E. Cook, Jonathan Cook, Tanner Juedeman, David Richards, Courtenay Vaughan:
A Methodology for Characterizing the Correspondence Between Real and Proxy Applications. CLUSTER 2018: 190-200 - [c5]Omar Aaziz, Jonathan Cook, Mohammed Tanash:
Modeling Expected Application Runtime for Characterizing and Assessing Job Performance. CLUSTER 2018: 543-551 - [c4]Omar Aaziz, Jeanine E. Cook, Jonathan E. Cook, Courtenay Vaughan:
Exploring and Quantifying How Communication Behaviors in Proxies Relate to Real Applications. PMBS@SC 2018: 12-22 - 2017
- [j1]Ivan B. Dylko, Igor Dolgov, William Hoffman, Nicholas Eckhart, Maria D. Molina, Omar Aaziz:
The dark side of technology: An experimental investigation of the influence of customizability technology on online political selective exposure. Comput. Hum. Behav. 73: 181-190 (2017) - [c3]Omar Aaziz, Ujjwal Panthi, Jonathan Cook:
YAViT (Yet Another Viz Tool): Raising the Level of Abstraction in End-User HPC Interactions. CLUSTER 2017: 814-817 - 2016
- [c2]Mohammed Tanash, Nasim Ghazanfari, Omar Aaziz, Jonathan Cook:
Automatically Instrumenting Scientific Applications to Produce Heartbeat Events. IPDPS Workshops 2016: 1678-1686 - 2015
- [c1]Omar Aaziz, Jonathan Cook, Hadi Sharifi:
Push Me Pull You: Integrating Opposing Data Transport Modes for Efficient HPC Application Monitoring. CLUSTER 2015: 674-681
Coauthor Index
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