This paper explores the thermal problems in future CMPs in multiprogrammed environment for heat balancing. We first give the observation of the temperature variation of cores in this scenario. Then we propose a temperature-aware submesh allocation scheme to manage cores with submeshes and allocate submeshes of cores to jobs under temperature-aware policies to balance heat chip-wide. Several scheduling policies are suggested and a HotSpot-based thermal simulator is used to evaluate the scheme and its policies under the workloads of benchmark programs. Simulation results show that our proposed scheme with global coolest policy and global neighbor-aware policy can lead to lower peak temperatures and effectively reduce the temporal variance and spatial variance of temperatures of cores to achieve better heat balance.
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