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Domain-specific systems-on-chip (DSSoCs) aim at bridging the gap between application-specific integrated circuits (ASICs) and general-purpose processors. Traditional operating system (OS) schedulers can undermine the potential of DSSoCs since their execution times can be orders of magnitude larger than the execution time of the task itself. To address this problem, we propose a dynamic adaptive scheduling (DAS) framework that combines the benefits of a fast (low-overhead) scheduler and a slow (sophisticated, high-performance but high-overhead) scheduler. Experiments with five real-world streaming applications show that DAS consistently outperforms both the fast and slow schedulers. For 40 different workloads, DAS achieves <inline-formula> <tex-math notation="LaTeX">$1.29\times $ </tex-math></inline-formula> speedup and 45&#x0025; lower EDP than the sophisticated scheduler at low data rates and <inline-formula> <tex-math notation="LaTeX">$1.28\times $ </tex-math></inline-formula> speedup and 37&#x0025; lower EDP than the fast scheduler when the workload intensifies.

DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs