Systematic Data Structure Exploration of Multimedia and Network Applications realized Embedded Systems

Lazaros Papadopoulos, Christos Baloukas, N. Zompakis, D. Soudris
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引用次数: 3

Abstract

In the last years, there is a trend towards network and multimedia applications to be implemented in portable devices. These applications usually contain complex dynamic data structures. The appropriate selection of the dynamic data type (DDT) combination of an application affects the performance and the energy consumption of the whole system. Thus, DDT exploration methodology is used to perform tradeoffs between design factors, such as performance and energy consumption. In this paper we provide a new approach to the DDT exploration procedure, based on a new library of DDTs which remedies the limitations of an existing and allows the DDT optimization of a wide range of application domains. Using the new library, we performed DDT exploration in network and multimedia benchmarks and achieved performance and energy consumption improvements up to 85% and 43% respectively.
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嵌入式系统中多媒体和网络应用的系统数据结构探索
在过去的几年里,有一种趋势是在便携式设备上实现网络和多媒体应用程序。这些应用程序通常包含复杂的动态数据结构。应用程序的动态数据类型(DDT)组合的适当选择会影响整个系统的性能和能耗。因此,DDT勘探方法用于在设计因素(如性能和能耗)之间进行权衡。在本文中,我们提供了一种基于新的DDT库的DDT探索程序的新方法,该库弥补了现有DDT库的局限性,并允许对广泛的应用领域进行DDT优化。使用新的库,我们在网络和多媒体基准测试中进行了DDT探索,分别实现了85%和43%的性能和能耗改进。
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