| Project/Area Number |
16K12406
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Computer system
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
Shudo Kazuyuki 東京工業大学, 情報理工学院, 准教授 (90308271)
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | ベンチマーク / 回帰分析 / 性能モデリング / 確証的因子分析 / 性能評価 |
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| Outline of Final Research Achievements |
Benchmarking is an indispensable method to evaluate how much computer systems are suitable to our purpose by measuring and comparing them. We proposed a statistical technique to reveal relationships between application benchmarks and performance of system components. Storage systems were also our targets in addition to CPUs, that was planned at the beginning. Our technique enabled us to investigate which basic operations, such as add and memory access, contribute to the benchmarking results and how much they contribute. It is also enabled to estimate how a storage system performs well with emerging storage devices such as Storage Class Memories.
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| Academic Significance and Societal Importance of the Research Achievements |
アプリケーションやアプリケーションを模したベンチマークの性能評価結果が一体何を表しているのかを調べられるようになった。また、ベンチマークスコアを吊り上げるチートと呼ばれる不正行為を検出できる可能性がある。
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