Paul M. Rich

According to our database1, Paul M. Rich authored at least 20 papers between 1995 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing.
IEEE Trans. Parallel Distributed Syst., 2022

Flash-X: A multiphysics simulation software instrument.
SoftwareX, 2022

Hybrid Workload Scheduling on HPC Systems.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

What does Inter-Cluster Job Submission and Execution Behavior Reveal to Us?
Proceedings of the IEEE International Conference on Cluster Computing, 2022

MRSch: Multi-Resource Scheduling for HPC.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021
Deep Reinforcement Agent for Scheduling in HPC.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Operating Liquid-Cooled Large-Scale Systems: Long-Term Monitoring, Reliability Analysis, and Efficiency Measures.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020
Job characteristics on large-scale systems: long-term analysis, quantification, and implications.
Proceedings of the International Conference for High Performance Computing, 2020

2019
Scheduling Beyond CPUs for HPC.
Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

2018
Theta: Rapid installation and acceptance of an XC40 KNL system.
Concurr. Comput. Pract. Exp., 2018

2017
Experience and Practice of Batch Scheduling on Leadership Supercomputers at Argonne.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2017

Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016
Improving Batch Scheduling on Blue Gene/Q by Relaxing Network Allocation Constraints.
IEEE Trans. Parallel Distributed Syst., 2016

I/O-aware bandwidth allocation for petascale computing systems.
Parallel Comput., 2016

2015
Ongoing verification of a multiphysics community code: FLASH.
Softw. Pract. Exp., 2015

Improving Batch Scheduling on Blue Gene/Q by Relaxing 5D Torus Network Allocation Constraints.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

I/O-Aware Batch Scheduling for Petascale Computing Systems.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014
Evolution of FLASH, a multi-physics scientific simulation code for high-performance computing.
Int. J. High Perform. Comput. Appl., 2014

2008
Terascale turbulence computation using the FLASH3 application framework on the IBM Blue Gene/L system.
IBM J. Res. Dev., 2008

1995
Topographic Solar Radiation Models for GIS.
Int. J. Geogr. Inf. Sci., 1995


  Loading...