کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
457814 696050 2013 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Hierarchical neural networks based prediction and control of dynamic reconfiguration for multilevel embedded systems
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
Hierarchical neural networks based prediction and control of dynamic reconfiguration for multilevel embedded systems
چکیده انگلیسی

Multimedia design such as video decoders are typically composed of several communicating tasks. Each task is characterized by its workload variation. The target device of this kind of application contains several processing unit. This calls for a dynamic management of hardware units to improve the QOS of the application and to optimally allocate resources. In this paper, we propose a new architecture based on hierarchical multilevel neural network to model workload variation of each task. The hierarchical structure of this neural network perfectly describes the multilevel decomposition of each hardware unit. The aim of this investigation is to build a design with a control unit that manages the architecture and resource allocation according to the neural network workload prediction.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems Architecture - Volume 59, Issue 1, January 2013, Pages 48–59
نویسندگان
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