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A scalable multi-dimensional NoC simulation model for diverse spatio-temporal traffic patterns

机译:可扩展的多维NoC仿真模型,用于各种时空交通模式

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This paper describes a powerful simulation platform that enables accurate simulations of numerous network configurations under realistic traffic patterns to predict the performance and power needs of a 3-D integrated system early in the design flow. The simulation platform can model virtually any sized 2-D or 3-D network configuration, providing low-cost and fast tradeoff evaluations of various systems architectures. The network simulator uses scalable RTL-level models that can be used for accurate power and timing analyses. We demonstrate the capability of our simulation model by analyzing the performance of various network topologies under spatio-temporal traffic patterns to show how the network topology can be adjusted to meet the performance requirements of a design before it is manufactured. The simulation results can be used to optimize the placement of cores and communication buses early in the flow. By using the model, standard applications such as mobile application processor, femto-cell base-stations on-chip and wide-IO TSV memory stacking can be simulated.
机译:本文介绍了一个强大的仿真平台,可以在现实的交通模式下精确模拟许多网络配置,以预测设计流程早期三维集成系统的性能和功率需求。仿真平台可以模拟几乎任何大小的2-D或3-D网络配置,提供各种系统架构的低成本和快速权衡评估。网络模拟器使用可用于准确功率和定时分析的可缩放RTL级模型。我们通过分析时空交通模式下的各种网络拓扑结构的性能来展示我们的仿真模型的能力,以显示如何调整网络拓扑以满足设计之前的设计性能。仿真结果可用于优化核心和通信总线的放置在流动中。通过使用模型,可以模拟移动应用处理器,毫微微小区基站和宽-IOSTV存储器堆叠等标准应用。

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