Dataflow programming of real-time radar signal processing on manycores

Real-time performance is critical for the successful realization of next generation radar systems. Among these are advanced Active Electronically Scanned Array (AESA) radars in which complex calculations are to be performed on huge sets of data in real-time. Manycore architectures are designed to provide flexibility and high performance essential for such streaming applications. This paper deals with the implementation of compute-intensive parts of AESA radar signal processing chain in a high-level dataflow language; CAL. We evaluate the approach by targeting a commercial manycore architecture, Epiphany, and present our preliminary findings in terms of performance and productivity gains achieved in this case study.