Abstract
Modern Android mobile devices are enabled by complex heterogeneous MPSoC platforms. To exploit the full potential of these hardware platforms, computationally intensive parts of applications have to be properly parallelized. However, the current practice involves several manual steps, which is a cumbersome task for programmers. In this paper, we present an automated approach to extract multiple forms of parallelism from native C code within Android applications, targeting heterogeneous multicore devices. We show the effectiveness of our approach by parallelizing a set of benchmarks on a Nexus 7 tablet, which is based on a Snapdragon MPSoC that features a quad-core Krait CPU cluster and an Adreno 320 GPU.
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