Native MPSoC co-simulation environment for software performance estimation

P. Gerin, M. M. Hamayun, F. Pétrot
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引用次数: 30

Abstract

Performance estimation of Multi-Processor System-On-Chip (MPSoC) at a high abstraction level is required in order to perform early architecture exploration and accurate design validations. Although abstract executable models provide interesting functional validation capabilities, they quickly become unsuitable when timing becomes an issue - Native software simulation, a good candidate from the speed point of view, suffers from this issue. In this paper, we present a transactional level simulation environment that allows reliable performance estimation with a specific focus on software timing estimation on multi processor architectures. The embedded software is compiled natively on the host running the simulation and instrumented to reflect its execution on a specific target processor and then executed on a simulation model of the underlying hardware. The key contribution of this work is the use of both static and dynamic analysis, that allow realistic timing measurements in native software simulation. Experimental results show the efficiency of the proposed method to accurately estimate software performance in co-simulation environments.
用于软件性能估计的原生MPSoC联合仿真环境
为了进行早期的架构探索和准确的设计验证,需要在高抽象层次上对多处理器片上系统(MPSoC)进行性能评估。尽管抽象的可执行模型提供了有趣的功能验证功能,但当时间成为问题时,它们很快就变得不合适了——从速度的角度来看,本机软件仿真是一个很好的候选者,但也存在这个问题。在本文中,我们提出了一个事务级仿真环境,该环境允许可靠的性能估计,并特别关注多处理器架构上的软件时序估计。嵌入式软件在运行仿真的主机上进行本机编译,并对其进行检测以反映其在特定目标处理器上的执行,然后在底层硬件的仿真模型上执行。这项工作的关键贡献是使用静态和动态分析,允许在本地软件仿真中进行真实的定时测量。实验结果表明,该方法能够准确估计协同仿真环境下的软件性能。
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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