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Using renderscript and RCUDA for compute intensive tasks on mobile devices: a case study

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2013

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Gesellschaft für Informatik e.V.

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The processing power of mobile devices is continuously increasing. In this paper we perform a case study in which we assess three different programming models that can be used to leverage this processing power for compute intensive tasks. We use an imaging algorithm and compare a reference implementation of this algorithm based on OpenCV with a multi threaded RenderScript implementation and an implementation based on computation offloading with Remote CUDA. Experiments show that on a modern Tegra 3 quad core device a multi threaded implementation can achieve a 2.2 speed up factor at the same energy cost, whereas computation offloading does neither lead to speed ups nor energy savings.

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Kemp, Roelof; Palmer, Nicholas; Kielmann, Thilo; Bal, Henri; Aarts, Bastiaan; Ghuloum, Anwar (2013): Using renderscript and RCUDA for compute intensive tasks on mobile devices: a case study. Software Engineering 2013 - Workshopband. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-609-1. pp. 305-318. Regular Research Papers. Aachen. 26. Februar-1. März 2013

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