Dynamic Task Priority Scaling for Thermal Management of Multi-core Processors with Heavy Workload

Abstract

This paper presents a task priority scaling algorithm for dynamic thermal management of multi-core processors. The unique features of this algorithm include: 1) enabling task-level Dynamic Frequency Scaling (DFS) capability through software, 2) reducing task migration and provide load balancing using dynamic task priority scaling, 3) targeting DTM for systems with high workload. This algorithm is evaluated on a commercial quad-core processor. The experimental results indicate that the proposed approach can decrease the average and peak temperature by 9.73% and 7.1%, respectively, compared to Linux standard scheduler.