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A Network Traffic Generator Model for Fast Network-on-Chip Simulation

机译:一种用于快速片上网络仿真的网络流量生成器模型

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摘要

For Systems-on-Chip (SoCs) development, a predominant part of the design time is the simulation time. Performance evaluation and design space exploration of such systems in bit- and cycle-true fashion is becoming prohibitive. We propose a traffic generation (TG) model that provides a fast and effective Network-on-Chip (NoC) development and debugging environment. By capturing the type and the timestamp of communication events at the boundary of an IP core in a reference environment, the TG can subsequently emulate the core's communication behavior in different environments. Access patterns and resource contention in a system are dependent on the interconnect architecture, and our TG is designed to capture the resulting reactiveness. The regenerated traffic, which represents a realistic workload, can thus be used to undertake faster architectural exploration of interconnection alternatives, effectively decoupling simulation of IP cores and of interconnect fabrics. The results with the TG on an AMBA interconnect show a simulation time speedup above a factor of 2 over a complete system simulation, with close to 100% accuracy.
机译:对于片上系统(SoC)开发,设计时间的主要部分是仿真时间。以位和周期为真的方式对此类系统进行性能评估和设计空间探索变得越来越禁止。我们提出了一种流量生成(TG)模型,该模型提供了快速有效的片上网络(NoC)开发和调试环境。通过在参考环境中捕获IP内核边界上通信事件的类型和时间戳,TG可以随后模拟不同环境中内核的通信行为。系统中的访问模式和资源争用取决于互连体系结构,我们的TG旨在捕获所产生的反应性。重新生成的流量代表了实际的工作量,因此可用于对互连替代方案进行更快的体系结构探索,从而有效地将IP内核和互连结构的模拟去耦。 TG在AMBA互连上的结果显示,在完整的系统仿真中,仿真时间加速超过2倍,准确率接近100%。

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