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Power Aware WCET Analysis

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2014, Master of Science, Ohio State University, Electrical and Computer Engineering.
Worst case execution time (WCET) analysis is used to verify that real-time tasks on systems can be executed without violating any timing constraints. Power con- sumption is not considered in most of the WCET research work. However, real-time embedded systems have limited power resource and leakage power cost by cache could take up to 40% of the total power consumption. Because of the data reuse in pro- grams, not all of the cache are needed during the execution. However, traditional WCET analysis, which obtain WCET bound by assuming all cache can be utilized, results in a higher power dissipation. In this thesis, we propose a Power-aware WCET analysis framework (PWCET) to improve energy efficiency by reducing cache size with no penalty on WCET re- sult. Compiler analysis based useful cache calculation algorithm is used to determine non-useful cache size to be turned off to save power. Experiments of benchmarks demonstrate the effectiveness of the PWCET framework by obtaining considerable power saving without any effect on WCET bounds.
Fusun Ozguner (Advisor)
39 p.

Recommended Citations

Citations

  • Bao, W. (2014). Power Aware WCET Analysis [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398937286

    APA Style (7th edition)

  • Bao, Wenlei. Power Aware WCET Analysis. 2014. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1398937286.

    MLA Style (8th edition)

  • Bao, Wenlei. "Power Aware WCET Analysis." Master's thesis, Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398937286

    Chicago Manual of Style (17th edition)