Code Generation for Embedded Heterogeneous Architectures on Android

Membarth R, Reiche O, Hannig F, Teich J (2014)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2014

Publisher: IEEE

Edited Volumes: Proceedings -Design, Automation and Test in Europe, DATE

Pages Range: 86:1-86:6

Conference Proceedings Title: Proceedings of the Conference on Design, Automation and Test in Europe (DATE)

Event location: Dresden DE

DOI: 10.7873/DATE2014.099

Abstract

The success of Android is based on its unified Java programming model that allows to write platform-independent programs for a variety of different target platforms. However, this comes at the cost of performance. As a consequence, Google introduced APIs that allow to write native applications and to exploit multiple cores as well as embedded GPUs for compute-intensive parts. This paper proposes code generation techniques in order to target the Renderscript and Filterscript APIs. Renderscript harnesses multi-core CPUs and unified shader GPUs, while the more restricted Filterscript also supports GPUs with earlier shader models. Our techniques focus on image processing applications and allow to target these APIs and OpenCL from a common description. We further supersede memory transfers by sharing the same memory region among different processing elements on HSA platforms. As reference, we use an embedded platform hosting a multi-core ARM CPU and an ARM Mali GPU. We show that our generated source code is faster than native implementations in OpenCV as well as the pre-implemented script intrinsics provided by Google for acceleration on the embedded GPU. © 2014 EDAA.

Authors with CRIS profile

Richard Membarth Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Oliver Reiche Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Frank Hannig Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Jürgen Teich Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Related research project(s)

GRK 1773: Heterogeneous Image Systems, Project B3 (GRK 1773) RTG 1773: Heterogeneous Image Systems Oct. 1, 2012 - March 31, 2017 A Domain-Specific Language and GPU Target Code Generator for Image Processing Applications (HIPAcc) Jan. 1, 2009 - Jan. 1, 2012

How to cite

APA:

Membarth, R., Reiche, O., Hannig, F., & Teich, J. (2014). Code Generation for Embedded Heterogeneous Architectures on Android. In Proceedings of the Conference on Design, Automation and Test in Europe (DATE) (pp. 86:1-86:6). Dresden, DE: IEEE.

MLA:

Membarth, Richard, et al. "Code Generation for Embedded Heterogeneous Architectures on Android." Proceedings of the Conference on Design, Automation and Test in Europe (DATE), Dresden IEEE, 2014. 86:1-86:6.

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