高速网络建模全系统仿真

D. Lugones, Daniel Franco, Dolores Rexachs, J. Moure, E. Luque, Eduardo Argollo, Ayose Falcón, Daniel Ortega, P. Faraboschi
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引用次数: 4

摘要

集群计算系统的广泛采用已经将建模重点从合成流量转移到实际工作负载,以便更好地捕获应用程序和体系结构之间的复杂交互。在这种情况下,全系统仿真环境还需要对网络组件进行建模,但是实际负担得起的仿真持续时间太短,无法适当地强调网络瓶颈。在本文中,我们提出了一种方法,克服了这一问题,使互连网络的建模,同时确保具有代表性的结果与快速的仿真周转。我们使用标准的网络工具来提取简化的模型,这些模型经过统计验证,同时与完整的系统仿真环境兼容。我们提出了三个具有不同精度和速度比的模型,这些模型根据估计的流量计算网络延迟时间,并在现实世界的并行科学应用程序上进行测量。
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High-speed network modeling for full system simulation
The widespread adoption of cluster computing systems has shifted the modeling focus from synthetic traffic to realistic workloads to better capture the complex interactions between applications and architecture. In this context, a full-system simulation environment also needs to model the networking component, but the simulation duration that is practically affordable is too short to appropriately stress the networking bottlenecks. In this paper, we present a methodology that overcomes this problem and enables the modeling of interconnection networks while ensuring representative results with fast simulation turnaround. We use standard network tools to extract simplified models that are statistically validated and at the same time compatible with a full system simulation environment. We propose three models with different accuracy vs. speed ratios that compute network latency times according to the estimated traffic and measure them on a real-world parallel scientific application.
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