Investigating TI KeyStone II and quad-core ARM Cortex-A53 architectures for on-board space processing. - Benjamin Schwaller; Barath Ramesh; Alan D. George (HPEC, 2017)

Standardized Environment for Monitoring Heterogeneous Architectures. - Connor Brown; Benjamin Schwaller; Nathan Gauntt; Benjamin A. Allan; Kevin Davis (CLUSTER, 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 (HPCS, 2019)

LDMS Monitoring of EDR InfiniBand Networks. - Benjamin A. Allan; Michael J. Aguilar; Benjamin Schwaller; Steven Langer (CLUSTER, 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 (CLUSTER, 2020)

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 (Euro-Par, 2021)

Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation. - Yijia Zhang 002; Burak Aksar; Omar Aaziz; Benjamin Schwaller; Jim M. Brandt; Vitus J. Leung; Manuel Egele; Ayse K. Coskun (HPEC, 2021)

Systematically inferring I/O performance variability by examining repetitive job behavior. - Emily Costa; Tirthak Patel; Benjamin Schwaller; Jim M. Brandt; Devesh Tiwari (SC, 2021)

Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems. - Burak Aksar; Yijia Zhang 002; Emre Ates; Benjamin Schwaller; Omar Aaziz; Vitus J. Leung; Jim M. Brandt; Manuel Egele; Ayse K. Coskun (ISC, 2021)

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 (CLUSTER, 2022)

LDMS Darshan Connector: For Run Time Diagnosis of HPC Application I/O Performance. - Sara Walton; Omar Aaziz; Ana Luisa Veroneze Solórzano; Benjamin Schwaller (CLUSTER, 2022)

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 (SC, 2023)

Evolving Large Scale HPC Monitoring & Analysis to Track Modern Dynamic Environments. - Kathleen Shoga; Jim M. Brandt; Benjamin Schwaller; Thomas W. Tucker (CLUSTER Workshops, 2024)

Toward Sustainable HPC: In-Production Deployment of Incentive-Based Power Efficiency Mechanism on the Fugaku Supercomputer. - Ana Luisa Veroneze Solórzano; Kento Sato; Keiji Yamamoto; Fumiyoshi Shoji; Jim M. Brandt; Benjamin Schwaller; Sara Petra Walton; Jennifer Green; Devesh Tiwari (SC, 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., 2024)

Refine: A Robust Approach to Unsupervised Anomaly Detection for Production HPC Systems. - Efe Sencan; Yin-Ching Lee; Connor Casey; Benjamin Schwaller; Vitus J. Leung; Jim M. Brandt; Brian Kulis; Manuel Egele; Ayse K. Coskun (ISC, 2025)