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In this study, we introduce a methodology for automatically transforming userapplications in the radar and communication domain written in C/C++ based ondynamic profiling to a parallel representation targeted for a heterogeneousSoC. We present our approach for instrumenting the user application binaryduring the compilation process with barrier synchronization primitives thatenable runtime system schedule and execute independent tasks concurrently overthe available compute resources. We demonstrate the capabilities of ourintegrated compile time and runtime flow through task-level parallel andfunctionally correct execution of real-life applications. We perform validationof our integrated system by executing four distinct applications each carryingvarious degrees of task level parallelism over the Xeon-based multi-corehomogeneous processor. We use the proposed compilation and code transformationmethodology to re-target each application for execution on a heterogeneous SoCcomposed of three ARM cores and one FFT accelerator that is emulated on theXilinx Zynq UltraScale+ platform. We demonstrate our runtime's ability toprocess application binary, dispatch independent tasks over the availablecompute resources of the emulated SoC on the Zynq FPGA based on three differentscheduling heuristics. Finally we demonstrate execution of each applicationindividually with task level parallelism on the Zynq FPGA and execution ofworkload scenarios composed of multiple instances of the same application aswell as mixture of two distinct applications to demonstrate ability to realizeboth application and task level parallel execution. Our integrated approachoffers a path forward for application developers to take full advantage of thetarget SoC without requiring users to become hardware and parallel programmingexperts.

Profile-Guided Parallel Task Extraction and Execution for Domain Specific Heterogeneous SoC