Performance characteristics of gang scheduling in multiprogrammed environments
SC '97 Proceedings of the 1997 ACM/IEEE conference on Supercomputing
IPPS '99/SPDP '99 Proceedings of the 13th International Symposium on Parallel Processing and the 10th Symposium on Parallel and Distributed Processing
Improved Utilization and Responsiveness with Gang Scheduling
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
Building the Teraflops/Petabytes Production Supercomputing Center
Euro-Par '99 Proceedings of the 5th International Euro-Par Conference on Parallel Processing
Job-Length Estimation and Performance in Backfilling Schedulers
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
Performance Metrics Based on Computational Action
International Journal of High Performance Computing Applications
Adaptive time/space sharing with SCOJO
International Journal of High Performance Computing and Networking
A reinforcement learning framework for utility-based scheduling in resource-constrained systems
Future Generation Computer Systems
A reinforcement learning framework for utility-based scheduling in resource-constrained systems
A reinforcement learning framework for utility-based scheduling in resource-constrained systems
Pitfalls in parallel job scheduling evaluation
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
Coarse-grain time slicing with resource-share control in parallel-job scheduling
HPCC'07 Proceedings of the Third international conference on High Performance Computing and Communications
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This article describes a new benchmark, called the Effective System Performance (ESP) test, which is designed to measure system-level performance, including such factors as job scheduling efficiency, handling of large jobs and shutdown-reboot times. In particular, this test can be used to study the effects of various scheduling policies and parameters. We present here some results that we have obtained so far on the Cray T3E and IBM SP systems, together with insights obtained from simulations.