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On self-timed ring for consistent mapping and maximum throughput

机译:在自定时环上,以实现一致的映射和最大的吞吐量

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Multiprocessor System-on-Chip employing self-timed technique becomes increasingly attractive due to its ability for exploiting high parallelism of applications. There have been many research efforts on studying self-timed techniques on hardware layer. However, these research results are unable to be applied to system synthesis; in particular, how to correctly and optimally map an application represented by a Data Flow Graph to a self-timed ring architecture remains unknown. Self-timed ring (STR) is a popular and easy to implemented architecture. This paper establishes a series of theorems about the setting of initial configuration to achieve correct mappings and the formulas of calculating corresponding throughputs of STR. Based on the understanding, we can obtain a correct initial configuration of STR. And an algorithm presented in the paper can also find the best initial configuration that achieves the maximum throughput of STR. Examples show maximum throughput algorithm achieves 51.11% improvement of throughput compared with non-optimized ones.
机译:由于采用自定时技术的多处理器片上系统具有利用应用程序高度并行性的能力,因此变得越来越有吸引力。在硬件层上研究自定时技术已经有许多研究工作。但是,这些研究结果无法应用于系统综合。尤其是,如何正确和最佳地将由数据流图表示的应用程序映射到自定时环体系结构仍然未知。自定时环(STR)是一种流行且易于实现的体系结构。本文建立了一系列有关初始配置设置的定理,以实现正确的映射以及计算STR相应吞吐量的公式。基于此了解,我们可以获得正确的STR初始配置。本文提出的算法还可以找到实现STR最大吞吐量的最佳初始配置。实例显示,与未优化算法相比,最大吞吐量算法可将吞吐量提高51.11%。

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