OSCAR Compiler Controlled Multicore Power Reduction on Android Platform View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Hideo Yamamoto , Tomohiro Hirano , Kohei Muto , Hiroki Mikami , Takashi Goto , Dominic Hillenbrand , Moriyuki Takamura , Keiji Kimura , Hironori Kasahara

ABSTRACT

In recent years, smart devices are transitioning from single core processors to multicore processors to satisfy the growing demands of higher performance and lower power consumption. However, power consumption of multicore processors is increasing, as usage of smart devices become more intense. This situation is one of the most fundamental and important obstacle that the mobile device industries face, to extend the battery life of smart devices. This paper evaluates the power reduction control by the OSCAR Automatic Parallelizing Compiler on an Android platform with the newly developed precise power measurement environment on the ODROID-X2, a development platform with the Samsung Exynos4412 Prime, which consists of 4 ARM Cortex-A9 cores. The OSCAR Compiler enables automatic exploitation of multigrain parallelism within a sequential program, and automatically generates a parallelized code with the OSCAR Multi-Platform API power reduction directives for the purpose of DVFS (Dynamic Voltage and Frequency Scaling), clock gating, and power gating. The paper also introduces a newly developed micro second order pseudo clock gating method to reduce power consumption using WFI (Wait For Interrupt). By inserting GPIO (General Purpose Input Output) control functions into programs, signals appear on the power waveform indicating the point of where the GPIO control was inserted and provides a precise power measurement of the specified program area. The results of the power evaluation for real-time Mpeg2 Decoder show 86.7 % power reduction, namely from 2.79[W] to 0.37[W] and for real-time Optical Flow show 86.5 % power reduction, namely from 2.23[W] to 0.36[W] on 3 core execution. More... »

PAGES

155-168

References to SciGraph publications

  • 2006. Compiler Control Power Saving Scheme for Multi Core Processors in LANGUAGES AND COMPILERS FOR PARALLEL COMPUTING
  • 2005. Hierarchical Parallelism Control for Multigrain Parallel Processing in LANGUAGES AND COMPILERS FOR PARALLEL COMPUTING
  • 2001. Automatic Coarse Grain Task Parallel Processing on SMP Using OpenMP in LANGUAGES AND COMPILERS FOR PARALLEL COMPUTING
  • 2010. OSCAR API for Real-Time Low-Power Multicores and Its Performance on Multicores and SMP Servers in LANGUAGES AND COMPILERS FOR PARALLEL COMPUTING
  • Book

    TITLE

    Languages and Compilers for Parallel Computing

    ISBN

    978-3-319-09966-8
    978-3-319-09967-5

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-09967-5_9

    DOI

    http://dx.doi.org/10.1007/978-3-319-09967-5_9

    DIMENSIONS

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