Benjamin Schwaller

According to our database, Benjamin Schwaller authored at least 14 papers between 2017 and 2024.

Collaborative distances:

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

2024

Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning.

Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim M. Brandt, Brian Kulis, Manuel Egele, Ayse K. Coskun

IEEE Trans. Parallel Distributed Syst., April, 2024

Evolving Large Scale HPC Monitoring & Analysis to Track Modern Dynamic Environments.

Kathleen Shoga, Jim M. Brandt, Benjamin Schwaller, Thomas W. Tucker

Proceedings of the IEEE International Conference on Cluster Computing, 2024

2023

Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems.

Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim M. Brandt, Brian Kulis, Manuel Egele, Ayse K. Coskun

Proceedings of the International Conference for High Performance Computing, 2023

2022

LDMS Darshan Connector: For Run Time Diagnosis of HPC Application I/O Performance.

Sara Walton, Omar Aaziz, Ana Luisa Veroneze Solórzano, Benjamin Schwaller

Proceedings of the IEEE International Conference on Cluster Computing, 2022

ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems.

Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim M. Brandt, Brian Kulis, Ayse K. Coskun

Proceedings of the IEEE International Conference on Cluster Computing, 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

Systematically inferring I/O performance variability by examining repetitive job behavior.

Emily Costa, Tirthak Patel, Benjamin Schwaller, Jim M. Brandt, Devesh Tiwari

Proceedings of the International Conference for High Performance Computing, 2021

Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation.

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

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

E2EWatch: An End-to-End Anomaly Diagnosis Framework for Production HPC Systems.

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

Proceedings of the Euro-Par 2021: Parallel Processing, 2021

2020

HPC System Data Pipeline to Enable Meaningful Insights through Analysis-Driven Visualizations.

Benjamin Schwaller, Nick Tucker, Tom Tucker, Benjamin A. Allan, Jim M. Brandt

Proceedings of the IEEE International Conference on Cluster Computing, 2020

LDMS Monitoring of EDR InfiniBand Networks.

Benjamin A. Allan, Michael J. Aguilar, Benjamin Schwaller, Steven Langer

Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019

Evaluating the Marvell ThunderX2 Server Processor for HPC Workloads.

Simon D. Hammond, Clay Hughes, Michael J. Levenhagen, Courtenay T. Vaughan, Andrew J. Younge, Benjamin Schwaller, Michael J. Aguilar, Kevin T. Pedretti, James H. Laros III

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Standardized Environment for Monitoring Heterogeneous Architectures.

Connor Brown, Benjamin Schwaller, Nathan Gauntt, Benjamin A. Allan, Kevin Davis

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2017

Investigating TI KeyStone II and quad-core ARM Cortex-A53 architectures for on-board space processing.

Benjamin Schwaller, Barath Ramesh, Alan D. George

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017