Communications of the ACM
Packing Schemes for Gang Scheduling
IPPS '96 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
The EASY - LoadLeveler API Project
IPPS '96 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Job Re-pacing for Enhancing the Performance of Gang Scheduling
IPPS/SPDP '99/JSSPP '99 Proceedings of the Job Scheduling Strategies for Parallel Processing
A parallel workload model and its implications for processor allocation
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
Gang Scheduling with a Queue for Large Jobs
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
On the Development of an Efficient Coscheduling System
JSSPP '01 Revised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing
Benefit of Limited Time Sharing in the Presence of Very Large Parallel Jobs
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
DistRM: distributed resource management for on-chip many-core systems
CODES+ISSS '11 Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
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Gang scheduling is currently the most popular scheduling scheme for parallel processing in a time shared environment. In this paper we first describe the ideas of job re-packing and workload tree for efficiently allocating resources to enhance the performance of gang scheduling. We then present some experimental results obtained by implementing four different resource allocation schemes. These results show how the ideas, such as re-packing jobs, running jobs in multiple slots and minimising the average number of time slots in the system, affect system and job performance when incorporated into the buddy based allocation scheme for gang scheduling.