کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6885542 | 696592 | 2016 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Multi-objective optimization of energy consumption and execution time in a single level cache memory for embedded systems
ترجمه فارسی عنوان
بهینه سازی چند هدف از مصرف انرژی و زمان اجرای آن در یک حافظه پنهان یکسان برای سیستم های جاسازی شده
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کلمات کلیدی
حافظه پنهان، انرژی، کارایی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
Current embedded systems are specifically designed to run multimedia applications. These applications have a big impact on both performance and energy consumption. Both metrics can be optimized selecting the best cache configuration for a target set of applications. Multi-objective optimization may help to minimize both conflicting metrics in an independent manner. In this work, we propose an optimization method that based on Multi-Objective Evolutionary Algorithms, is able to find the best cache configuration for a given set of applications. To evaluate the goodness of candidate solutions, the execution of the optimization algorithm is combined with a static profiling methodology using several well-known simulation tools. Results show that our optimization framework is able to obtain an optimized cache for Mediabench applications. Compared to a baseline cache memory, our design method reaches an average improvement of 64.43 and 91.69% in execution time and energy consumption, respectively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems and Software - Volume 111, January 2016, Pages 200-212
Journal: Journal of Systems and Software - Volume 111, January 2016, Pages 200-212
نویسندگان
Josefa DÃaz Álvarez, José L. Risco-MartÃn, J. Manuel Colmenar,