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A data cache optimization approach for coarse grain reconfigurable architecture for multimedia applications

机译:一种针对多媒体应用的粗粒度可重构体系结构的数据缓存优化方法

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摘要

This paper proposes a data Cache optimization method for coarse grain reconfigurable architecture for multimedia applications to improve the data flow of the reconfigurable system with low on-chip memory cost, including the novel data Cache structure and the related Cache management strategy, especially the updating method for the data Cache. The proposed data cache structure has been adopted in a reconfigurable system called REMUS-HPP. The experimental results show that the approach is efficient for various multimedia applications, and the memory access performance of the reconfigurable system can be improved by 47.02%-53.20% with a very low memory cost of 4Kbytes.
机译:本文提出了一种针对多媒体应用的粗粒度可重构体系结构的数据缓存优化方法,以降低片上存储器成本的方式改善了可重构系统的数据流,包括新颖的数据缓存结构和相关的缓存管理策略,特别是更新方法。用于数据缓存。所提出的数据缓存结构已在称为REMUS-HPP的可重新配置系统中采用。实验结果表明,该方法对于各种多媒体应用都是有效的,并且可重配置系统的内存访问性能可以提高47.02%-53.20%,而内存成本仅为4KB。

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