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Realizing Fast and Scalable Brain Information Processing based on Skeletal Parallel Programming

Research Project

Project/Area Number 25330088
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Software
Research InstitutionKochi University of Technology

Principal Investigator

Matsuzaki Kiminori  高知工科大学, 工学部, 准教授 (30401243)

Project Period (FY) 2013-04-01 – 2016-03-31
Project Status Completed (Fiscal Year 2015)
Budget Amount *help
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Keywords並列プログラミング / 脳情報処理 / 計算パターン / 超解像処理 / MapReduce / ソフトウェア / fMRI / 超解像 / 並列化 / 脳科学
Outline of Final Research Achievements

This research is to apply systematic parallel programming methodology to applications in the brain science area. It consists of the following two tasks: task 1) application of parallel programming to brain image processing applications; task 2) study on large-scale parallel/distributed framework for brain-image database. We applied three program-optimization methods to super-resolution processing of fMRI images and obtained speedups by a factor of about three by each of methods. We also proposed an algorithm to process data with tree dependency on the MapReduce framework and formalized the functional model of Hadoop MapReduce.

Report

(4 results)
  • 2015 Annual Research Report   Final Research Report ( PDF )
  • 2014 Research-status Report
  • 2013 Research-status Report
  • Research Products

    (11 results)

All 2016 2015 2014 2013

All Journal Article (4 results) (of which Peer Reviewed: 3 results,  Open Access: 1 results,  Acknowledgement Compliant: 2 results) Presentation (7 results)

  • [Journal Article] Functional Models of Hadoop MapReduce with Application to Scan2016

    • Author(s)
      Kiminori Matsuzaki
    • Journal Title

      International Journal of Parallel Programming

      Volume: (online) Issue: 2 Pages: 362-381

    • DOI

      10.1007/s10766-016-0414-9

    • NAID

      110009850860

    • Related Report
      2015 Annual Research Report
    • Peer Reviewed
  • [Journal Article] fMRI画像に対する超解像処理とその効果についての検証2015

    • Author(s)
      松崎 公紀,宮崎 玲奈
    • Journal Title

      高知工科大学紀要

      Volume: 12

    • Related Report
      2014 Research-status Report
    • Open Access / Acknowledgement Compliant
  • [Journal Article] An Automatic Fusion Mechanism for Variable-Length List Skeletons in SkeTo2014

    • Author(s)
      Kento Emoto, Kiminori Matsuzaki
    • Journal Title

      International Journal of Parallel Programming

      Volume: 42(4) Issue: 4 Pages: 546-563

    • DOI

      10.1007/s10766-013-0263-8

    • NAID

      120005728994

    • Related Report
      2013 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Journal Article] Accumulative Computation on MapReduce2014

    • Author(s)
      Yu Liu, Kento Emoto, Kiminori Matsuzaki, Zhenjiang Hu
    • Journal Title

      情報処理学会論文誌プログラミング

      Volume: 7 Pages: 18-27

    • NAID

      130003394611

    • Related Report
      2013 Research-status Report
    • Peer Reviewed
  • [Presentation] プログラム高速化の効果の検証 -超解像処理を題材として2016

    • Author(s)
      畑中 涼, 松崎 公紀
    • Organizer
      第18回プログラミングおよびプログラミング言語ワークショップ(PPL2016)
    • Place of Presentation
      岡山県
    • Year and Date
      2016-03-07
    • Related Report
      2015 Annual Research Report
  • [Presentation] MR画像に対する超解像化とその高速化に関する検討2016

    • Author(s)
      松崎 公紀
    • Organizer
      医用画像情報学会平成27年度春季(第174回)大会
    • Place of Presentation
      広島県
    • Year and Date
      2016-02-06
    • Related Report
      2015 Annual Research Report
  • [Presentation] MRI Image Processing with OpenCL2015

    • Author(s)
      Juan Luis Soler Ferrer, Kiminori Matsuzaki
    • Organizer
      第32回日本ソフトウェア科学会大会
    • Place of Presentation
      東京都
    • Year and Date
      2015-09-08
    • Related Report
      2015 Annual Research Report
  • [Presentation] Parallel Tree Accumulations on MapReduce2014

    • Author(s)
      Kiminori Matsuzaki, Reina Miyazaki
    • Organizer
      7th International Symposium on High-level Parallel Programming and Applications (HLPP 2014)
    • Place of Presentation
      アムステルダム,オランダ
    • Year and Date
      2014-07-03 – 2014-07-04
    • Related Report
      2014 Research-status Report
  • [Presentation] A Generic Implementation of Tree Skeletons2014

    • Author(s)
      Shigeyuki Sato, Kiminori Matsuzaki
    • Organizer
      7th International Symposium on High-level Parallel Programming and Applications (HLPP 2014)
    • Place of Presentation
      アムステルダム,オランダ
    • Year and Date
      2014-07-03 – 2014-07-04
    • Related Report
      2014 Research-status Report
  • [Presentation] A Tree-Division Tool for Practical Huge XML Trees (Poster)2013

    • Author(s)
      Kawamura Takayuki, Kiminori Matsuzaki
    • Organizer
      11th Asian Symposium on Programming Languages and Systems (APLAS2013)
    • Place of Presentation
      メルボルン,オーストラリア
    • Related Report
      2013 Research-status Report
  • [Presentation] An Automatic Fusion Mechanism for Variable-Length List Skeletons in SkeTo2013

    • Author(s)
      Kento Emoto, Kiminori Matsuzaki
    • Organizer
      International Symposium on High-level Parallel Programming and Applications
    • Place of Presentation
      パリ,フランス
    • Related Report
      2013 Research-status Report

URL: 

Published: 2014-07-25   Modified: 2019-07-29  

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