Energy optimization for multiprocessor embedded software
Project/Area Number |
24500036
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Software
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Research Institution | Nagoya University |
Principal Investigator |
ZENG GANG 名古屋大学, 工学(系)研究科(研究院), 講師 (90456632)
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Co-Investigator(Kenkyū-buntansha) |
MATSUBARA YUTAKA 名古屋大学, 情報科学研究科, 助教 (30547500)
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Project Period (FY) |
2012-04-01 – 2016-03-31
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Project Status |
Completed (Fiscal Year 2015)
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Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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Keywords | 組込みリアルタイムシステム / マルチプロセッサ / 省エネルギー / タスクスケジューリング / 組込みソフトウェア / リアルタイムシステム |
Outline of Final Research Achievements |
First, we have proposed a tool chain and a real time operating system for energy optimization of embedded real-time application. The framework conducts both design time and run time optimization so that the energy consumption can be minimized. Its effectiveness has been validated by simulation and experiments on a real chip. Second, to save energy for task with long execution time, we have proposed a task migration model and an ILP (Integer linear Programming) formulation to divide the large task into two small subtasks which can migrate between two processors. The simulation results demonstrated our method can save as much as 10% energy than existing methods.
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Report
(5 results)
Research Products
(13 results)
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[Presentation] A Mobile Robot for Fall Detection for Elderly-Care2015
Author(s)
Takuma Sumiya, Yutaka Matsubara, Miyuki Nakano, Midori Sugaya
Organizer
19th Annual Conference Knowledge-Based and Intelligent Information & Engineering Systems(KES2015)
Place of Presentation
Singapore
Year and Date
2015-09-07
Related Report
Int'l Joint Research / Invited
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