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Scalable benchmark synthesis for performance evaluation of NoC core mapping

机译：NOC核心映射性能评估的可扩展基准合成

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摘要

Network On Chip is determined as an On-chip packet-switched communication in the study of multi-processors. As the number of components is proliferating, there were many issues regarding the performance of a network. By taking into consideration of this problem, in this paper, we proposed an efficient core mapping algorithm named BMAP, used for customizing the NoC platforms and performing the SPLASH-2 Benchmark synthesis evaluation. This proposed mapping technique is applied to various NoC applications and SPLASH-2 Benchmark applications. The experimental outcomes exhibit optimized NoC platforms on outperforming the performance and cost metrics when compared with other mapping algorithms. In contrast, the SPLASH-2 Benchmarks reveal that the proposed algorithm has a significant improvement in performance metrics against NMAP, MMAP, and EMAP algorithms. The metrics such as Speed-up Execution Time has improved by 40%, 30%, and 20%, and Latency reduced by 42%, 34%, and 28%, Energy efficiency was improved by 36%, 30%, 26%, and Power consumption reduced by 32.6%, 28.2%, and 26.4% respectively.
机译：芯片网络被确定为多处理器研究中的片上分组交换通信。随着组件数量的增加，有很多关于网络性能的问题。通过考虑这个问题，在本文中，我们提出了一个名为BMAP的有效核心映射算法，用于自定义NoC平台并执行Splash-2基准合成评估。该提出的映射技术应用于各种NOC应用和Splash-2基准应用。与其他映射算法相比，实验结果表明优化的NOC平台，优于表现性能和成本指标。相比之下，Splash-2基准揭示了所提出的算法对NMAP，MMAP和EMAP算法的性能度量有显着改善。加速执行时间等度量，提高了40％，30％和20％，延迟降低了42％，34％和28％，能量效率提高了36％，30％，26％，和功耗分别减少了32.6％，28.2％和26.4％。

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