We address the problem of providing support for executing single
streaming applications implemented as a pipeline of stages that run
on heterogeneous chips comprised of several cores and one on-chip
GPU. In this paper, we mainly focus on the API that allows the user
to specify the type of parallelism exploited by each pipeline stage
running on the multicore CPU, the mapping of the pipeline stages to
the devices (GPU or CPU), and the number of active threads. We use
a real streaming application as a case of study to illustrate the
experimental results that can be obtained with this API. With this
example, we evaluate how the different parameter values affect the
performance and energy efficiency of a heterogenous on-chip
processor (Exynos 5 Octa) that has three different computational
cores: a GPU, an ARM Cortex-A15 quad-core, and an ARM Cortex-A7
quad-core.
