Parallelizing compiler framework and API for power reduction and software productivity of real-time heterogeneous multicores

Akihiro Hayashi, Yasutaka Wada, Takeshi Watanabe, Takeshi Sekiguchi, Masayoshi Mase, Jun Shirako, Keiji Kimura, Hironori Kasahara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Heterogeneous multicores have been attracting much attention to attain high performance keeping power consumption low in wide spread of areas. However, heterogeneous multicores force programmers very difficult programming. The long application program development period lowers product competitiveness. In order to overcome such a situation, this paper proposes a compilation framework which bridges a gap between programmers and heterogeneous multicores. In particular, this paper describes the compilation framework based on OSCAR compiler. It realizes coarse grain task parallel processing, data transfer using a DMA controller, power reduction control from user programs with DVFS and clock gating on various heterogeneous multicores from different vendors. This paper also evaluates processing performance and the power reduction by the proposed framework on a newly developed 15 core heterogeneous multicore chip named RP-X integrating 8 general purpose processor cores and 3 types of accelerator cores which was developed by Renesas Electronics, Hitachi, Tokyo Institute of Technology and Waseda University. The framework attains speedups up to 32x for an optical flow program with eight general purpose processor cores and four DRP(Dynamically Reconfigurable Processor) accelerator cores against sequential execution by a single processor core and 80% of power reduction for the real-time AAC encoding.

Original languageEnglish
Title of host publicationLanguages and Compilers for Parallel Computing - 23rd International Workshop, LCPC 2010, Revised Selected Papers
Pages184-198
Number of pages15
DOIs
Publication statusPublished - 2011 Mar 18
Event23rd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2010 - Houston, TX, United States
Duration: 2010 Oct 72010 Oct 9

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6548 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2010
CountryUnited States
CityHouston, TX
Period10/10/710/10/9

Keywords

  • API
  • Heterogeneous Multicore
  • Parallelizing Compiler

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Hayashi, A., Wada, Y., Watanabe, T., Sekiguchi, T., Mase, M., Shirako, J., Kimura, K., & Kasahara, H. (2011). Parallelizing compiler framework and API for power reduction and software productivity of real-time heterogeneous multicores. In Languages and Compilers for Parallel Computing - 23rd International Workshop, LCPC 2010, Revised Selected Papers (pp. 184-198). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6548 LNCS). https://doi.org/10.1007/978-3-642-19595-2_13