  In this study, we introduce a methodology for automatically transforming user
applications in the radar and communication domain written in C/C++ based on
dynamic profiling to a parallel representation targeted for a heterogeneous
SoC. We present our approach for instrumenting the user application binary
during the compilation process with barrier synchronization primitives that
enable runtime system schedule and execute independent tasks concurrently over
the available compute resources. We demonstrate the capabilities of our
integrated compile time and runtime flow through task-level parallel and
functionally correct execution of real-life applications. We perform validation
of our integrated system by executing four distinct applications each carrying
various degrees of task level parallelism over the Xeon-based multi-core
homogeneous processor. We use the proposed compilation and code transformation
methodology to re-target each application for execution on a heterogeneous SoC
composed of three ARM cores and one FFT accelerator that is emulated on the
Xilinx Zynq UltraScale+ platform. We demonstrate our runtime's ability to
process application binary, dispatch independent tasks over the available
compute resources of the emulated SoC on the Zynq FPGA based on three different
scheduling heuristics. Finally we demonstrate execution of each application
individually with task level parallelism on the Zynq FPGA and execution of
workload scenarios composed of multiple instances of the same application as
well as mixture of two distinct applications to demonstrate ability to realize
both application and task level parallel execution. Our integrated approach
offers a path forward for application developers to take full advantage of the
target SoC without requiring users to become hardware and parallel programming
experts.
