Robust partitioning policies of multiprocessor systems
Performance Evaluation - Special issue: performance modeling of parallel processing systems
Processor Saving Scheduling Policies for Multiprocessor Systems
IEEE Transactions on Computers
Journal of Parallel and Distributed Computing
On the Benefits and Limitations of Dynamic Partitioning in Parallel Computer Systems
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Job Characteristics of a Production Parallel Scientivic Workload on the NASA Ames iPSC/860
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Parallel Job Scheduling: Issues and Approaches
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Theory and Practice in Parallel Job Scheduling
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
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As the distributed-memory parallel systems become heterogeneous in nature, it is important to devise scheduling policies that take node heterogeneity into account. Previous studies on this topic have focused on homogeneous systems. In this paper, we propose a new two-level space-sharing policy for heterogeneous systems. The proposed policy is an adaptive space-sharing policy that takes system load and user requirements into account. We compare the performance of the new policy with a previous policy. The results presented here show that the proposed policy provides substantial performance improvements.