粗粒度可重构架构的内存带宽优化策略

Peng Cao, Huiyan Jiang, Bo Liu, Weiwei Shan
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引用次数: 1

摘要

随着多媒体标准流化效率的提高和粗粒度可重构体系结构(CGRA)计算资源的不断增加,如何为多媒体应用提供高数据吞吐量成为当前的瓶颈挑战。本文提出了一种基于MB信息预解析机制的数据重用方法。预先解析的信息指导数据缓冲区的替换过程。采用数据复用的方法,平均减少了近50%的带宽,CGRA可以支持200MHz频率下的1080p@30fps视频解码。
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Memory Bandwidth Optimization Strategy of Coarse-Grained Reconfigurable Architecture
With the increasingly efficient streaming of multimedia standard and the computational resources in the coarse grained reconfigurable architecture (CGRA), how to provide high data throughput for the CGRA for multimedia application in real time becomes a bottleneck challenge. In this paper, a data reuse method is proposed based on the pre-parsing mechanism of MB information in advance. The pre-parsed information guides the replacement process of the data buffer. By employing the data reuse method, the required bandwidth can be reduced by nearly 50% on average and the CGRA can support 1080p@30fps video decoding at the frequency of 200MHz.
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