硬件软件协同设计的系统级内存优化

K. Danckaert, F. Catthoor, H. Man
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引用次数: 30

摘要

图像和视频处理系统领域的应用研究表明,实时多维信号处理(RMSP)的(特定应用)架构中50%至80%的面积成本是由于阵列信号的数据存储和传输。对于单处理器和多处理器实现,定制和(嵌入式)可编程目标都是如此。本文有两个主要贡献。首先,为了降低这种主要成本,我们建议在硬件/软件分区决策之前,将多维信号的系统级存储组织作为映射这些应用程序的总体方法的第一步。其次,我们基于一个现实的测试车辆,即基于四叉树的图像编码应用,证明了这种新方法的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
System level memory optimization for hardware-software co-design
Application studies in the areas of image and video processing systems indicate that between 50 and 80% of the area cost in (application-specific) architectures for real-time multi-dimensional signal processing (RMSP) is due to data storage and transfer of array signals. This is true for both singleand multi-processor realizations, both customized and (embedded) programmable targets. This paper has two main contributions. First, to reduce this dominant cost, we propose to address the system-level storage organization for the multi-dimensional signals as a first step in the overall methodology to map these applications, before the hardware/software partitioning decision. Secondly, we demonstrate the usefulness of this novel approach based on a realistic test vehicle, namely a quad-tree based image coding application.
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