Multicore Execution Of Dynamic Dataflow Programs On The Distributed Application Layer

Dataflow programming has received increasing attention in the age of multicore computing. Modular and concurrent dataflow program descriptions enable highly automated approaches for design space exploration, optimization and deployment of applications. A great advance in dataflow programming has been the recent introduction of the RVC-CAL language. Having been standardized by the ISO, the RVC-CAL dataflow language provides a solid basis for the development of tools, design methodologies and design flows. This paper proposes a novel design flow for mapping RVC-CAL dataflow programs to highly parallel execution platforms. Through the proposed design flow the programmer can describe an application in the RVC-CAL language and map it to multi-and many-core platforms for efficient execution. The functionality and efficiency of the proposed approach is demonstrated by a parallel implementation of a video processing application and a run-time reconfigurable filter for telecommunications. Experiments are performed on a multicore platform with up to 16 cores, and the results show that for high-performance applications the proposed design flow provides up to 4x higher throughput than the state-of-the-art approach in multicore execution of RVC-CAL programs.