Tightness and computation assessment of worst-case delay bounds in wormhole networks-on-chip

Frederic Giroudot, A. Mifdaoui
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引用次数: 6

Abstract

This paper addresses the problem of worst-case timing analysis in wormhole Networks-On-Chip (NoCs). We consider our previous work [5] for computing maximum delay bounds using Network Calculus, called the Buffer-Aware Worst-case Timing Analysis (BATA). The latter allows the computation of delay bounds for a large panel of wormhole NoCs, e.g., handling priority-sharing, Virtual Channel Sharing and buffer backpressure. In this paper, we provide further insights into the tightness and computation issues of the worst-case delay bounds yielded by BATA. Our assessment shows that the gap between the computed delay bounds and the worst-case simulation results is reasonably small (70% tighness on average). Furthermore, BATA provides good delay bounds for medium-scale configurations within less than one hour. Finally, we evaluate the yielded improvements with BATA for a realistic use-case against a recent state-of-the-art approach. This evaluation shows the applicability of BATA under more general assumptions and the impact of such a feature on the tightness and computation time.
片上虫洞网络最坏情况延迟界的严密性及计算评估
本文研究了片上虫洞网络(noc)的最坏时序分析问题。我们考虑了我们之前使用网络微积分计算最大延迟界限的工作[5],称为缓冲区感知最坏情况时序分析(BATA)。后者允许计算大量虫洞noc的延迟边界,例如,处理优先级共享,虚拟通道共享和缓冲背压。在本文中,我们对BATA产生的最坏情况延迟界的严密性和计算问题提供了进一步的见解。我们的评估表明,计算的延迟边界和最坏情况模拟结果之间的差距相当小(平均70%的紧密度)。此外,BATA在不到一小时的时间内为中等规模配置提供了良好的延迟范围。最后,我们针对一个现实的用例,针对最新的最先进的方法,对BATA所产生的改进进行了评估。这一评价显示了BATA在更一般假设下的适用性,以及这一特征对密实度和计算时间的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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