Dataflow-aware Task Scheduling with Aggregated Dataflow Graphs Author: Gabor Wacha Emerging multicore CPU architectures in the field of embedded software allows better performance in parallel applications. However, proper utilization of the cores is still an issue. Task schedulers can achieve an even load on the different cores, however communication between them can introduce a bottleneck. Our research introduces the concept of a dataflow-aware scheduler which can achieve better performance results in multicore environments.