Jim M. Brandt

According to our database, Jim M. Brandt authored at least 51 papers between 2005 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

2023

Driving HPC Operations With Holistic Monitoring and Operational Data Analytics (Dagstuhl Seminar 23171).

Jim M. Brandt, Florina M. Ciorba, Ann C. Gentile, Michael Ott, Torsten Wilde

Dagstuhl Reports, 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

Evaluating HPC Job Run Time Predictions Using Application Input Parameters.

Kenneth Lamar, Alexander V. Goponenko, Omar Aaziz, Benjamin A. Allan, James M. Brandt, Damian Dechev

Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems, 2023

Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations.

Francieli Boito, Jim M. Brandt, Valeria Cardellini, Philip H. Carns, Florina M. Ciorba, Hilary Egan, Ahmed Eleliemy, Ann C. Gentile, Thomas Gruber, Jeff Hanson, Utz-Uwe Haus, Kevin A. Huck, Thomas Ilsche, Thomas Jakobsche, Terry R. Jones, Sven Karlsson, Abdullah Mueen, Michael Ott, Tapasya Patki, Ivy Peng, Krishnan Raghavan, Stephen Simms, Kathleen Shoga, Michael T. Showerman, Devesh Tiwari, Torsten Wilde, Keiji Yamamoto

Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022

Metrics for Packing Efficiency and Fairness of HPC Cluster Batch Job Scheduling.

Alexander V. Goponenko, Kenneth Lamar, Christina L. Peterson, Benjamin A. Allan, Jim M. Brandt, Damian Dechev

Proceedings of the 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 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

Delay sensitivity-driven congestion mitigation for HPC systems.

Archit Patke, Saurabh Jha, Haoran Qiu, Jim M. Brandt, Ann C. Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar K. Iyer

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 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

Backfilling HPC Jobs with a Multimodal-Aware Predictor.

Kenneth Lamar, Alexander V. Goponenko, Christina L. Peterson, Benjamin A. Allan, Jim M. Brandt, Damian Dechev

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020

Application-aware Congestion Mitigation forHigh-Performance Computing Systems.

Archit Patke, Saurabh Jha, Haoran Qiu, Jim M. Brandt, Ann C. Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar K. Iyer

CoRR, 2020

ALAMO: Autonomous Lightweight Allocation, Management, and Optimization.

Ron Brightwell, Kurt B. Ferreira, Ryan E. Grant, Scott Levy, Jay F. Lofstead, Stephen L. Olivier, Kevin T. Pedretti, Andrew J. Younge, Ann C. Gentile, Jim M. Brandt

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Measuring Congestion in High-Performance Datacenter Interconnects.

Saurabh Jha, Archit Patke, Jim M. Brandt, Ann C. Gentile, Benjamin Lim, Mike Showerman, Greg Bauer, Larry Kaplan, Zbigniew Kalbarczyk, William Kramer, Ravi K. Iyer

Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, 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

Towards workload-adaptive scheduling for HPC clusters.

Alexander V. Goponenko, Ramin Izadpanah, Jim M. Brandt, Damian Dechev

Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019

Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning.

Ozan Tuncer, Emre Ates, Yijia Zhang, Ata Turk, Jim M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun

IEEE Trans. Parallel Distributed Syst., 2019

Production Application Performance Data Streaming for System Monitoring.

Ramin Izadpanah, Benjamin A. Allan, Damian Dechev, Jim M. Brandt

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2019

Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo.

Valerio Formicola, Saurabh Jha, Daniel Chen, Fei Deng, Amanda Bonnie, Mike Mason, Jim M. Brandt, Ann C. Gentile, Larry Kaplan, Jason Repik, Jeremy Enos, Mike Showerman, Annette Greiner, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Bill Kramer

CoRR, 2019

HPAS: An HPC Performance Anomaly Suite for Reproducing Performance Variations.

Emre Ates, Yijia Zhang, Burak Aksar, Jim M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun

Proceedings of the 48th International Conference on Parallel Processing, 2019

A Study of Network Congestion in Two Supercomputing High-Speed Interconnects.

Saurabh Jha, Archit Patke, Jim M. Brandt, Ann C. Gentile, Mike Showerman, Eric Roman, Zbigniew T. Kalbarczyk, Bill Kramer, Ravishankar K. Iyer

Proceedings of the 2019 IEEE Symposium on High-Performance Interconnects, 2019

2018

An Efficient Latch-free Database Index Based on Multi-dimensional Lists.

Kenneth Lamar, Ramin Izadpanah, Jim M. Brandt, Damian Dechev

Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018

Integrating Low-latency Analysis into HPC System Monitoring.

Ramin Izadpanah, Nichamon Naksinehaboon, Jim M. Brandt, Ann C. Gentile, Damian Dechev

Proceedings of the 47th International Conference on Parallel Processing, 2018

Taxonomist: Application Detection Through Rich Monitoring Data.

Emre Ates, Ozan Tuncer, Ata Turk, Vitus J. Leung, Jim M. Brandt, Manuel Egele, Ayse K. Coskun

Proceedings of the Euro-Par 2018: Parallel Processing, 2018

Characterizing Supercomputer Traffic Networks Through Link-Level Analysis.

Saurabh Jha, Jim M. Brandt, Ann C. Gentile, Zbigniew Kalbarczyk, Ravishankar K. Iyer

Proceedings of the IEEE International Conference on Cluster Computing, 2018

Large-Scale System Monitoring Experiences and Recommendations.

Ville Ahlgren, Stefan Andersson, Jim M. Brandt, Nicholas Cardo, Sudheer Chunduri, Jeremy Enos, Parks Fields, Ann C. Gentile, Richard Gerber, Michael Gienger, Joe Greenseid, Annette Greiner, Bilel Hadri, Yun He, Dennis Hoppe, Urpo Kaila, Kaki Kelly, Mark Klein, Alex Kristiansen, Steve Leak, Mike Mason, Kevin T. Pedretti, Jean-Guillaume Piccinali, Jason Repik, Jim Rogers, Susanna Salminen, Mike Showerman, Cary Whitney, Jim Williams

Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017

Diagnosing Performance Variations in HPC Applications Using Machine Learning.

Ozan Tuncer, Emre Ates, Yijia Zhang, Ata Turk, Jim M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun

Proceedings of the High Performance Computing - 32nd International Conference, 2017

Holistic Measurement-Driven System Assessment.

Saurabh Jha, Jim M. Brandt, Ann C. Gentile, Zbigniew Kalbarczyk, Gregory H. Bauer, Jeremy Enos, Michael T. Showerman, Larry Kaplan, Brett M. Bode, Annette Greiner, Amanda Bonnie, Mike Mason, Ravishankar K. Iyer, William Kramer

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

Continuous whole-system monitoring toward rapid understanding of production HPC applications and systems.

Anthony M. Agelastos, Benjamin A. Allan, Jim M. Brandt, Ann C. Gentile, Sophia Lefantzi, Steve Monk, Jeff Ogden, Mahesh Rajan, Joel Stevenson

Parallel Comput., 2016

Design and Implementation of a Scalable HPC Monitoring System.

Sam Sanchez, Amanda Bonnie, Graham van Heule, Conor Robinson, Adam DeConinck, Kathleen Kelly, Quellyn Snead, Jim M. Brandt

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Large-Scale Persistent Numerical Data Source Monitoring System Experiences.

Jim M. Brandt, Ann C. Gentile, Michael T. Showerman, Jeremy Enos, Joshi Fullop, Gregory H. Bauer

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

HPCMASPA Introduction and Committees.

Benjamin A. Allan, Jim M. Brandt, Ann C. Gentile, Cory Lueninghoener, Nichamon Naksinehaboon, Boyana Norris, Narate Taerat

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Infrastructure for In Situ System Monitoring and Application Data Analysis.

Jim M. Brandt, Karen D. Devine, Ann C. Gentile

Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2015

Extending LDMS to Enable Performance Monitoring in Multi-core Applications.

Steven D. Feldman, Deli Zhang, Damian Dechev, James Brandt

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

New Systems, New Behaviors, New Patterns: Monitoring Insights from System Standup.

Jim M. Brandt, Ann C. Gentile, Cindy Martin, Jason Repik, Narate Taerat

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

Toward Rapid Understanding of Production HPC Applications and Systems.

Anthony M. Agelastos, Benjamin A. Allan, Jim M. Brandt, Ann C. Gentile, Sophia Lefantzi, Steve Monk, Jeff Ogden, Mahesh Rajan, Joel Stevenson

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014

The Lightweight Distributed Metric Service: A Scalable Infrastructure for Continuous Monitoring of Large Scale Computing Systems and Applications.

Anthony M. Agelastos, Benjamin A. Allan, Jim M. Brandt, Paul Cassella, Jeremy Enos, Joshi Fullop, Ann C. Gentile, Steve Monk, Nichamon Naksinehaboon, Jeff Ogden, Mahesh Rajan, Michael T. Showerman, Joel Stevenson, Narate Taerat, Thomas W. Tucker

Proceedings of the International Conference for High Performance Computing, 2014

Demonstrating improved application performance using dynamic monitoring and task mapping.

Jim M. Brandt, Karen D. Devine, Ann C. Gentile, Kevin T. Pedretti

Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2012

Filtering log data: Finding the needles in the Haystack.

Li Yu, Ziming Zheng, Zhiling Lan, Terry R. Jones, Jim M. Brandt, Ann C. Gentile

Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks, 2012

2011

Baler: deterministic, lossless log message clustering tool.

Narate Taerat, Jim M. Brandt, Ann C. Gentile, Matthew Wong, Chokchai Leangsuksun

Comput. Sci. Res. Dev., 2011

Framework for Enabling System Understanding.

Jim M. Brandt, Frank Chen, Ann C. Gentile, Chokchai Leangsuksun, Jackson R. Mayo, Philippe P. Pébay, Diana C. Roe, Narate Taerat, David C. Thompson, M. H. Wong

Proceedings of the Euro-Par 2011: Parallel Processing Workshops - CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29, 2011

2010

Combining Virtualization, resource characterization, and Resource management to enable efficient high performance compute platforms through intelligent dynamic resource allocation.

James Brandt, Frank Chen, Vincent De Sapio, Ann C. Gentile, Jackson R. Mayo, Philippe P. Pébay, Diana C. Roe, David C. Thompson, Matthew Wong

Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Quantifying effectiveness of failure prediction and response in HPC systems: Methodology and example.

James Brandt, Frank Chen, Vincent De Sapio, Ann C. Gentile, Jackson R. Mayo, Philippe P. Pébay, Diana C. Roe, David C. Thompson, Matthew Wong

Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W 2010), Chicago, Illinois, USA, June 28, 2010

Using Cloud Constructs and Predictive Analysis to Enable Pre-Failure Process Migration in HPC Systems.

James Brandt, Frank Chen, Vincent De Sapio, Ann C. Gentile, Jackson R. Mayo, Philippe P. Pébay, Diana C. Roe, David C. Thompson, Matthew Wong

Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010

2009

Resource monitoring and management with OVIS to enable HPC in cloud computing environments.

Jim M. Brandt, Ann C. Gentile, Jackson R. Mayo, Philippe P. Pébay, Diana C. Roe, David C. Thompson, Matthew Wong

Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

2008

Ovis-2: A robust distributed architecture for scalable RAS.

Jim M. Brandt, Bert J. Debusschere, Ann C. Gentile, Jackson R. Mayo, Philippe P. Pébay, David C. Thompson, M. H. Wong

Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Using Probabilistic Characterization to Reduce Runtime Faults in HPC Systems.

Jim M. Brandt, Bert J. Debusschere, Ann C. Gentile, Jackson R. Mayo, Philippe P. Pébay, David C. Thompson, Matthew Wong

Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 2008

2006

OVIS: a tool for intelligent, real-time monitoring of computational clusters.

Jim M. Brandt, Ann C. Gentile, D. J. Hale, Philippe P. Pébay

Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

2005

Meaningful Automated Statistical Analysis of Large Computational Clusters.

Jim M. Brandt, Ann C. Gentile, Youssef M. Marzouk, Philippe P. Pébay

Proceedings of the 2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26, 2005