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首页> 外文期刊>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems >Towards a heterogeneous simulation kernel for system-level models: a SystemC kernel for synchronous data flow models
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Towards a heterogeneous simulation kernel for system-level models: a SystemC kernel for synchronous data flow models

机译：面向用于系统级模型的异构仿真内核：用于同步数据流模型的SystemC内核

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摘要

As SystemC gains popularity as a modeling language of choice for system-on-chip (SoC) designs, heterogeneous modeling in SystemC and efficient simulation become increasingly important. However, in the current reference implementation, all SystemC models are simulated through a nondeterministic discrete-event (DE) simulation kernel that schedules events at run time mimicking other models of computation (MoCs) using DE, which may get cumbersome. This sometimes results in too many delta cycles hindering the simulation performance of the model. SystemC also uses this simulation kernel as the target simulation engine. This makes it difficult to express different MoCs naturally in SystemC. In an SoC model, different components may need to be naturally expressible in different MoCs. These components may be amenable to static scheduling-based simulation or other presimulation optimization techniques. The goal is to create a simulation framework for heterogeneous SystemC models and to gain efficiency and ease of use within the framework of SystemC reference implementation. In this paper, a synchronous data flow (SDF) kernel extension for SystemC is introduced. Experimental results showing improvement in simulation time are also presented.
机译：随着SystemC作为片上系统（SoC）设计的首选建模语言而日益流行，SystemC中的异构建模和高效仿真变得越来越重要。但是，在当前参考实现中，所有SystemC模型都是通过不确定的离散事件（DE）仿真内核进行仿真的，该内核在运行时调度事件，从而模仿使用DE的其他计算模型（MoC），这可能会很麻烦。有时这会导致过多的增量周期，从而阻碍模型的仿真性能。 SystemC还使用此仿真内核作为目标仿真引擎。这使得很难在SystemC中自然表达不同的MoC。在SoC模型中，不同的组件可能需要在不同的MoC中自然表达。这些组件可能适用于基于静态调度的仿真或其他预仿真优化技术。目的是为异构SystemC模型创建一个仿真框架，并在SystemC参考实现的框架内提高效率和易用性。本文介绍了SystemC的同步数据流（SDF）内核扩展。实验结果表明模拟时间有所改善。

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