کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6885808 1444580 2018 25 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Application-aware Multi-Objective Routing based on Genetic Algorithm for 2D Network-on-Chip
ترجمه فارسی عنوان
مسیریابی چند منظوره کاربردی مبتنی بر الگوریتم ژنتیک برای شبکه 2 بعدی بر روی تراشه
کلمات کلیدی
شبکه در تراشه، پروتکل مسیریابی مبتنی بر برنامه، چند هدف، الگوریتم ژنتیک، بهینه سازی پارتو،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
This paper presents a technique using a genetic algorithm to compute an efficient routing for an application-specific NoC (Network-on-Chip). The main goal of this paper is to introduce multi-objective optimization techniques to address the NoC routing. Thus, Pareto optimization has been used to determine non-dominated solutions according to two fixed objectives: (i) avoiding the reuse of same links as far as possible to reduce congestion; (ii) reducing the number of loops to limit the risk of deadlocks. The proposed method called MORGA (Multi-Objective Routing based on Genetic Algorithm) uses two steps: (i) an off-line process consisting at selecting a non-dominated solution among a pre-calculated population of solutions; (ii) an on-line process allowing the data transmission based on the built solution by the use of routing tables. MORGA is also applicable in the presence of permanent faulty links by calculating fault-free solutions. A reconfiguration of routing tables is performed when a new application is loaded on the system. Results show how a selection of the most appropriate solution can provide considerable improvement in performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Microprocessors and Microsystems - Volume 61, September 2018, Pages 135-153
نویسندگان
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