Paul Rich

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 19

Top Topics

Reliability Analysis

Computing Systems

Top Venues

IEEE Trans. Parallel Distributed Syst.

Publications

Anshu Dubey, Klaus Weide, Jared O'Neal, Akash Dhruv, Sean M. Couch, James Austin Harris, Tom Klosterman, Rajeev Jain, Johann Rudi, Bronson Messer, Michael Pajkos, Jared Carlson, Ran Chu, Mohamed Wahib, Saurabh Chawdhary, Paul M. Ricker, Dongwook Lee, Katie Antypas, Katherine M. Riley, Christopher S. Daley, Murali K. Ganapathy, Francis X. Timmes, Dean M. Townsley, Marcos Vanella, John Bachan, Paul Rich, Shravan Kumar, Eirik Endeve, W. Raphael Hix, Anthony Mezzacappa, Thomas Papatheodore
Flash-X, a multiphysics simulation software instrument. CoRR (2022)
Tirthak Patel, Devesh Tiwari, Raj Kettimuthu, William E. Allcock, Paul Rich, Zhengchun Liu
What does Inter-Cluster Job Submission and Execution Behavior Reveal to Us? CLUSTER (2022)
Yuping Fan, Boyang Li, Dustin Favorite, Naunidh Singh, John Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan
DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka
Hybrid Workload Scheduling on HPC Systems. IPDPS (2022)
Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka
MRSch: Multi-Resource Scheduling for HPC. CLUSTER (2022)
Yuping Fan, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan
Hybrid Workload Scheduling on HPC Systems. CoRR (2021)
Yuping Fan, Zhiling Lan, J. Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka
Deep Reinforcement Agent for Scheduling in HPC. IPDPS (2021)
Yuping Fan, Zhiling Lan, J. Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka
Deep Reinforcement Agent for Scheduling in HPC. CoRR (2021)
Rohan Basu Roy, Tirthak Patel, Raj Kettimuthu, William E. Allcock, Paul Rich, Adam Scovel, Devesh Tiwari
Operating Liquid-Cooled Large-Scale Systems: Long-Term Monitoring, Reliability Analysis, and Efficiency Measures. HPCA (2021)
Tirthak Patel, Zhengchun Liu, Raj Kettimuthu, Paul Rich, William E. Allcock, Devesh Tiwari
Job characteristics on large-scale systems: long-term analysis, quantification, and implications. SC (2020)
Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul
Scheduling Beyond CPUs for HPC. CoRR (2020)
Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul
Scheduling Beyond CPUs for HPC. HPDC (2019)
Kevin Harms, Ti Leggett, Ben Allen, Susan Coghlan, Mark R. Fahey, Carissa Holohan, Gordon McPheeters, Paul Rich
Theta: Rapid installation and acceptance of an XC40 KNL system. Concurr. Comput. Pract. Exp. 30 (1) (2018)
William E. Allcock, Paul Rich, Yuping Fan, Zhiling Lan
Experience and Practice of Batch Scheduling on Leadership Supercomputers at Argonne. JSSPP (2017)
Yuping Fan, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan
Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates. CLUSTER (2017)
Zhou Zhou, Xu Yang, Dongfang Zhao, Paul Rich, Wei Tang, Jia Wang, Zhiling Lan
I/O-aware bandwidth allocation for petascale computing systems. Parallel Comput. 58 (2016)
Zhou Zhou, Xu Yang, Zhiling Lan, Paul Rich, Wei Tang, Vitali A. Morozov, Narayan Desai
Improving Batch Scheduling on Blue Gene/Q by Relaxing Network Allocation Constraints. IEEE Trans. Parallel Distributed Syst. 27 (11) (2016)
Zhou Zhou, Xu Yang, Zhiling Lan, Paul Rich, Wei Tang, Vitali A. Morozov, Narayan Desai
Improving Batch Scheduling on Blue Gene/Q by Relaxing 5D Torus Network Allocation Constraints. IPDPS (2015)
Zhou Zhou, Xu Yang, Dongfang Zhao, Paul Rich, Wei Tang, Jia Wang, Zhiling Lan
I/O-Aware Batch Scheduling for Petascale Computing Systems. CLUSTER (2015)