With the ever-increasing complexity of both embedded application workloads and
multiprocessor platforms grows the demand for efficient mapping heuristics able of
allocating several application workloads at runtime. The majority of promoted mapping
techniques are bespoke implementations that consider an in-house operating system, which
is developed to a particular architecture, restricting its adoption in other platforms. This work
proposes a FreeRTOS extension that supports distributed task mapping heuristics, which …

Embedded Multiprocessor systems are a reality, in both industry and academia sectors.
Such devices offer parallel processing capabilities, aiming at covering the increasing
requirements of complex applications. Underlying application workloads are susceptible to
variation at runtime, which if not properly handled, may lead to the performance and power
efficiency degradation. The continuous increase in the complexity of application workload
and the size of emerging multiprocessor systems, calls for dynamic and distributed mapping …