Kathleen Shoga

According to our database, Kathleen Shoga authored at least 9 papers between 2017 and 2024.

Collaborative distances:

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

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

msr-genie: Navigating Model Specific Registers Across Processor Generations.

Kyle Fan, Barry Rountree, Tapasya Patki, Aniruddha Marathe, Stephanie Brink, Duncan McFarlane, Eric Green, Kathleen Shoga

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 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

Resource Utilization Aware Job Scheduling to Mitigate Performance Variability.

Daniel Nichols, Aniruddha Marathe, Kathleen Shoga, Todd Gamblin, Abhinav Bhatele

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021

A Holistic View of Memory Utilization on HPC Systems: Current and Future Trends.

Ivy Peng, Ian Karlin, Maya B. Gokhale, Kathleen Shoga, Matthew P. LeGendre, Todd Gamblin

Proceedings of the MEMSYS 2021: The International Symposium on Memory Systems, Washington, USA, September 27, 2021

2020

CanarIO: Sounding the Alarm on IO-Related Performance Degradation.

Michael R. Wyatt II, Stephen Herbein, Kathleen Shoga, Todd Gamblin, Michela Taufer

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019

Preparation and optimization of a diverse workload for a large-scale heterogeneous system.

Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz

Proceedings of the International Conference for High Performance Computing, 2019

2017

ScrubJay: deriving knowledge from the disarray of HPC performance data.

Alfredo Giménez, Todd Gamblin, Abhinav Bhatele, Chad Wood, Kathleen Shoga, Aniruddha Marathe, Peer-Timo Bremer, Bernd Hamann, Martin Schulz

Proceedings of the International Conference for High Performance Computing, 2017

Towards a Unified Monitoring Framework for Power, Performance and Thermal Metrics: A Case Study on the Evaluation of HPC Cooling Systems.

Aniruddha Marathe, Ghaleb Abdulla, Barry L. Rountree, Kathleen Shoga

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017