Unified Identification of Multiple Forms of Parallelism in Embedded Applications

Abstract

The use of Multiprocessor Systems on Chip (MPSoCs) is a common practice in the design of state-of-the-art embedded devices, as MPSoCs provide a good trade-off between performance, energy and cost. However, programming MPSoCs is a challenging task, which currently involves multiple manual steps. Although, several research efforts have addressed this challenge, there is not yet a widely accepted solution. In this work, we describe an approach to automatically extract multiple forms of parallelism from sequential embedded applications in a unified manner. We evaluate the applicability of our work by parallelizing multiple embedded applications on two commercial platforms.