An Adaptive Space-Sharing Policy for Heterogeneous Parallel Systems

摘要

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.