Publications

Walton, S.P., Allan, B., Brandt, J.M., & Brandt, J.M. (2023). LDMS Version 4.3+ Basics Tutorial [Conference Presenation]. https://doi.org/10.2172/2430977

Schwaller, B., Brandt, J.M., Leung, V.J., & Leung, V.J. (2023). Towards Practical Machine Learning Frameworks for Performance Diagnostics in Supercomputers [Conference Paper]. https://www.osti.gov/biblio/2431456

Brandt, J.M., Gentile, A.C., & Gentile, A.C. (2022). AppSysFusion: CoMingling of appropriate data to drive Codesign of Applications, HPC Platforms, and Monitoring, Analysis, and Feedback Infrastructure [Conference Presenation]. https://doi.org/10.2172/2006042

Brandt, J.M. (2022). Darshan I/O Runtime Monitoring [Conference Presenation]. https://doi.org/10.2172/2006147

Goponenko, A., Lamar, K., Peterson, C., Allan, B., Brandt, J.M., Dechev, D., & Dechev, D. (2022). Metrics for Packing Efficiency and Fairness of HPC Cluster Batch Job Scheduling [Conference Presenation]. https://doi.org/10.2172/2005924

Brandt, J.M. (2022). Moving Towards Autonomous HPC Facilities [Conference Presenation]. https://doi.org/10.2172/2004563

Brandt, J.M., Showerman, M., Roman, E., Greenseid, J., Tucker, T., & Tucker, T. (2022). Fallout: A Monitoring Infrastructure Supporting Informed System Acceptance [Conference Presenation]. https://doi.org/10.2172/2004564

Aksar, B., Sencan, E., Schwaller, B., Aaziz, O., Kulis, B., Coskun, A.K., Leung, V.J., Brandt, J.M., & Brandt, J.M. (2022). ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems [Conference Proceeding]. https://doi.org/10.1109/CLUSTER51413.2022.00048

Goponenko, A.V., Lamar, K., Peterson, C., Allan, B., Brandt, J.M., Dechev, D., & Dechev, D. (2022). Metrics for Packing Efficiency and Fairness of HPC Cluster Batch Job Scheduling [Conference Paper]. Proceedings - Symposium on Computer Architecture and High Performance Computing. https://doi.org/10.1109/SBAC-PAD55451.2022.00035

Brandt, J.M., Gentile, A.C., Walton, S.P., Allan, B., Tucker, T., & Tucker, T. (2021). LDMS Version 4.3 Tutorial Part 1: Basics [Conference Presenation]. https://doi.org/10.2172/1899500

Brandt, J.M., Gentile, A.C., Tucker, T., & Tucker, T. (2021). LDMS Version 4.3.8 Advanced Tutorial: Part 2 [Conference Presenation]. https://doi.org/10.2172/1898478

Brandt, J.M., Gentile, A.C., Tucker, T., & Tucker, T. (2021). LDMS Version 4.3.8 Advanced Tutorial: Part 1 [Conference Presenation]. https://doi.org/10.2172/1898488

Aaziz, O., Allan, B., Brandt, J.M., Cook, J., Devine, K., Elliott, J., Gentile, A.C., Hammond, S., Kelley, B., Lopatina, L., Moore, S.G., Olivier, S.L., Bachman, W.B., Poliakoff, D., Pawlowski, R., Regier, P., Schmitz, M.E., Schwaller, B., Surjadidjaja, V., … Walton, S.P. (2021). Integrated System and Application Continuous Performance Monitoring and Analysis Capability. https://doi.org/10.2172/1819812

Brandt, J.M., Cook, J., Aaziz, O., Allan, B., Devine, K., Bachman, W.B., Gentile, A.C., Hammond, S., Kelley, B., Lopatina, L., Moore, S.G., Olivier, S.L., Bachman, W.B., Poliakoff, D., Pawlowski, R., Regier, P., Schmitz, M.E., Schwaller, B., Surjadidjaja, V., … Walton, S.P. (2021). Integrated System and Application Continuous Performance Monitoring and Analysis Capability [Presentation]. https://www.osti.gov/biblio/1886175

Aksar, B., Zhang, Y., Ates, E., Aaziz, O., Schwaller, B., Brandt, J.M., Leung, V.J., Egele, M., Coskun, A.K., & Coskun, A.K. (2021). E2EWatch: End-to-end Anomaly Diagnosis Framework for Production HPC Systems [Conference Presenation]. https://doi.org/10.2172/1891960

Costa, E., Patel, T., Schwaller, B., Brandt, J.M., Tiwari, D., & Tiwari, D. (2021). Lessons From Examining Repetitive Job Behavior and I/O Performance Variability on a Production HPC System Emily Costa Northeastern University, USA Tirthak Patel Northeastern University, USA Benjamin Schwaller [Conference Paper]. https://www.osti.gov/biblio/1884199

Gentile, A.C., Brandt, J.M., & Brandt, J.M. (2021). Integrating Systems Operations into CoDesign [Conference Presenation]. https://doi.org/10.2172/1877538

Brandt, J.M. (2021). Integrating System State and Application Performance Monitoring: Network Contention Impact [Conference Presenation]. https://doi.org/10.2172/1884471

Aksar, B., Zhang, Y., Ates, E., Aaziz, O., Schwaller, B., Brandt, J.M., Leung, V.J., Egele, M., Coskun, A.K., & Coskun, A.K. (2021). E2EWatch: End-to-end Anomaly Diagnosis Framework for Production HPC Systems [Conference Paper]. https://doi.org/10.1007/978-3-030-85665-6_5

Gentile, A.C., Brandt, J.M., Cook, J., Hammond, S., Poliakoff, D., Schwaller, B., Surjadidjaja, V., Tucker, T.O., & Tucker, T.O. (2021). Enabling Application and System Data Fusion [Conference Presenation]. https://doi.org/10.2172/1863505

Brandt, J.M., Enos, J., Gentile, A.C., Kramer, W., & Kramer, W. (2021). Including Operations Analytics & Communication In Next Generation CoDesign: [Conference Presenation]. https://doi.org/10.2172/1856310

Aksar, B., Zhang, Y., Ates, E., Schwaller, B., Aaziz, O., Leung, V.J., Brandt, J.M., Egele, M., Coskun, A.K., & Coskun, A.K. (2021). Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems [Conference Proceeding]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-030-78713-4_11

Lamar, K., Goponenko, A., Peterson, C., Allan, B., Brandt, J.M., Dechev, D., & Dechev, D. (2021). Backfilling HPC Jobs with a Multimodal-Aware Predictor [Conference Paper]. Proceedings - IEEE International Conference on Cluster Computing, ICCC. https://doi.org/10.1109/Cluster48925.2021.00093

Zhang, Y., Aksar, B., Aaziz, O., Schwaller, B., Brandt, J.M., Leung, V.J., Egele, M., Coskun, A.K., & Coskun, A.K. (2021). Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation [Conference Presenation]. 2021 IEEE High Performance Extreme Computing Conference, HPEC 2021. https://doi.org/10.2172/1888952

Zhang, Y., Aksar, B., Aaziz, O., Schwaller, B., Brandt, J.M., Leung, V.J., Egele, M., Coskun, A.K., & Coskun, A.K. (2021). Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation [Conference Proceeding]. 2021 IEEE High Performance Extreme Computing Conference, HPEC 2021. https://doi.org/10.1109/HPEC49654.2021.9622783

Schwaller, B., Brandt, J.M., & Brandt, J.M. (2020). CCE MMAI FY20-21 Accomplishment and Planned Activities [Presentation]. https://www.osti.gov/biblio/1836907

Brandt, J.M., Goponenko, A.V., Dechev, D., Izadpanah, R., & Izadpanah, R. (2020). Towards workload-adaptive scheduling for HPC clusters [Conference Poster]. https://www.osti.gov/biblio/1814414

Tucker, T., Gentile, A.C., Brandt, J.M., & Brandt, J.M. (2020). Supporting Dynamic Event Monitoring in the Lightweight Distributed Metric Service (LDMS) [Conference Poster]. https://www.osti.gov/biblio/1812466

Schwaller, B., Allan, B., Brandt, J.M., Tucker, T., Tucker, N., & Tucker, N. (2020). HPC System Data Pipeline to Enable Meaningful Insights through Analytic-Driven Visualizations [Conference Poster]. https://www.osti.gov/biblio/1814415

Brandt, J.M. (2020). HPC Monitoring and Analysis at Sandia National Laboratories [Conference Poster]. https://www.osti.gov/biblio/1765307

Aaziz, O., Allan, B., Brandt, J.M., Cook, J., Devine, K., Bachman, W.B., Gentile, A.C., Olivier, S.L., Bachman, W.B., Tucker, T., & Tucker, T. (2020). Attributing Performance Variation from Integrated Application and System Data [Conference Poster]. https://www.osti.gov/biblio/1765520

Brandt, J.M. (2019). Improving HPC Productivity Through Monitoring Analysis and Feedback [Presentation]. https://www.osti.gov/biblio/1646158

Aksar, B., Schwaller, B., Aaziz, O., Ates, E., Brandt, J.M., Coskun, A., Egele, M., Leung, V.J., & Leung, V.J. (2019). AD for Machine Learning Approach to Understanding HPC Application Performance Variation Poster [Conference Poster]. https://www.osti.gov/biblio/1642788

Schwaller, B., Aksar, B., Aaziz, O., Ates, E., Brandt, J.M., Coskun, A., Egele, M., Leung, V.J., & Leung, V.J. (2019). A Machine Learning Approach to Understanding HPC Application Performance Variation [Conference Poster]. https://www.osti.gov/biblio/1642784

Gauntt, N.E., Davis, K., Repik, J.J., Brandt, J.M., Gentile, A.C., Hammond, S., & Hammond, S. (2019). Design Installation and Operation of the Vortex ART Platform. https://doi.org/10.2172/1562796

Brandt, J.M. (2019). HPC Monitoring & Analysis + Power 9 Specifics [Presentation]. https://www.osti.gov/biblio/1645803

Jha, S., Patke, A., Brandt, J.M., Gentile, A.C., Showerman, M., Roman, E., Kalbarczyk, Z.T., Kramer, B., Iyer, R.K., & Iyer, R.K. (2019). A study of network congestion in two supercomputing high-speed interconnects [Conference Poster]. Proceedings - 2019 IEEE Symposium on High-Performance Interconnects, HOTI 2019. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85076149891&origin=inward

Brandt, J.M. (2019). Lightweight Distributed Metric Service: Deployments Enhancements Roadmap and Activities [Presentation]. https://www.osti.gov/biblio/1645641

Ates, E., Tuncer, O., Turk, A., Leung, V.J., Brandt, J.M., Egele, M., Coskun, A.K., & Coskun, A.K. (2019). Taxonomist: Application Detection through Rich Monitoring Data [Presentation]. https://doi.org/10.1007/978-3-319-96983-1_7

Brandt, J.M., Brown, C.J., Bachman, W.B., Gentile, A.C., Greenseid, J., Kramer, W., Langer, P., Rashid, A., Rhem, K., Showerman, M., & Showerman, M. (2019). Exploring New Monitoring and Analysis Capabilities on Cray's Software Preview System (Final Version) [Conference Poster]. https://www.osti.gov/biblio/1640116

Brandt, J.M., Brown, C.J., Bachman, W.B., Gentile, A.C., Greenseid, J., Kramer, W., Langer, P., Rashid, A., Rhem, K., Showerman, M., & Showerman, M. (2019). Exploring New Monitoring and Analysis Capabilities on Cray?s Software Preview System [Conference Poster]. https://www.osti.gov/biblio/1639961

Tuncer, O., Ates, E., Zhang, Y., Turk, A., Brandt, J.M., Leung, V.J., Egele, M., Coskun, A.K., & Coskun, A.K. (2019). Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning. IEEE Transactions on Parallel and Distributed Systems, 30(4), pp. 883-896. https://doi.org/10.1109/TPDS.2018.2870403

Izadpanah, R., Allan, B., Dechev, D., Brandt, J.M., & Brandt, J.M. (2019). Production application performance data streaming for system monitoring. ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 4(2). https://doi.org/10.1145/3319498

Kramer, B., Bauer, G., Bode, B., Showerman, M., Enos, J., Saxton, A., Jha, S., Kalbarczyk, Z., Iyer, R., Brandt, J.M., Gentile, A.C., & Gentile, A.C. (2019). Holistic Measurement Driven System Assessment [Presentation]. https://www.osti.gov/biblio/1592279

Gentile, A.C., Brandt, J.M., & Brandt, J.M. (2018). Application and System Performance Metrics [Presentation]. https://www.osti.gov/biblio/1594278

Ahlgren, V., Andersson, S., Brandt, J.M., Cardo, N., Chunduri, S., Enos, J., Fields, P., Gentile, A.C., Gerber, R., Gienger, M., Greenseid, J., Greiner, A., Hadri, B., He, Y., Hoppe, D., Kaila, U., Kelly, K., Klein, M., Kristiansen, A., … Williams, J. (2018). Large-Scale System Monitoring Experiences and Recommendations [Conference Poster]. https://doi.org/10.1109/CLUSTER.2018.00069

Izadpanah, R., Naksinehaboon, N., Brandt, J.M., Gentile, A.C., Dechev, D., & Dechev, D. (2018). Integrating low-latency analysis into HPC system monitoring [Conference Poster]. ACM International Conference Proceeding Series. https://doi.org/10.1145/3225058.3225086

Ahlgren, V., Andersson, S., Brandt, J.M., Cardo, N., Chunduri, S., Enos, J., Fields, P., Gentile, A.C., Gerber, R., Gienger, M., Greenseid, J., Greiner, A., Hadri, B., He, Y., Hoppe, D., Kaila, U., Kelly, K., Klein, M., Kristiansen, A., … Williams, J. (2018). Large-Scale System Monitoring Experiences and Recommendations [Conference Poster]. https://doi.org/10.1109/CLUSTER.2018.00069

Brandt, J.M., Tucker, T., Gentile, A.C., & Gentile, A.C. (2018). OVIS Update 08/24/18 [Presentation]. https://www.osti.gov/biblio/1583057

Jha, S., Brandt, J.M., Gentile, A.C., Kalbarczyk, Z., Iyer, R., & Iyer, R. (2018). Characterizing Supercomputer Traffic Networks Through Link-Level Analysis [Conference Poster]. https://doi.org/10.1109/CLUSTER.2018.00072