Android video processing system combined with automatically parallelized and power optimized code by OSCAR compiler

Bui Duc Binh, Tomohiro Hirano, Hiroki Mikami, Hideo Yamamoto, Keiji Kimura, Hironori Kasahara

Research output: Contribution to journalArticlepeer-review

Abstract

The emergence of multi-core processors in smart devices promises higher performance and low power consumption. The parallelization of applications enables us to improve their performance. However, simultaneously utilizing many cores would drastically drain the device battery life. This paper shows a demonstration system of realtime video processing combined with power reduction controlled by the OSCAR automatic parallelization compiler on ODROID-X2, an open Android development platform based on Samsung Exynos4412 Prime with 4 ARM Cortext- A9 cores. In this paper, we exploited the DVFS framework, core partitioning, and profiling technique and OSCAR parallelization - power control algorithm to reduce the total consumption in a real-time video application. The demonstration results show that it can cut power consumption by 42.8% for MPEG-2 Decoder application and 59.8% for Optical Flow application by using 3 cores in both applications.

Original languageEnglish
Pages (from-to)504-511
Number of pages8
JournalJournal of information processing
Volume24
Issue number3
DOIs
Publication statusPublished - 2016

Keywords

  • Android
  • Automatic parallelizing compiler
  • Low-power consumption
  • Multi-core processor

ASJC Scopus subject areas

  • Computer Science(all)

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