标题： 系统级设计的工具和方法学 显示英文标题

标题： Tools and Methodologies for System-Level Design

摘要： 系统级设计，曾经是电路板设计师的领域，现在已成为芯片设计师的核心关注点。 由于芯片设计是一种更不宽容的设计媒介——设计周期更长，错误更难纠正——系统芯片设计师需要比电路板设计师更全面的工具集，因此已经开发了各种工具和方法用于系统级设计的系统芯片（SoC）。 系统级设计比逻辑设计或物理设计更难以合成。 因此，系统级工具集中在建模、仿真、设计空间探索和设计验证上。 建模的目标是正确捕捉系统的操作语义，这有助于实现和验证。 计算模型的研究为数字系统的描述提供了一个框架。 我们不仅需要理解一种特定的计算方式，如数据流，还需要理解不同计算模型如何可靠地相互通信。 设计空间探索工具，如硬件/软件协同设计，开发候选设计以理解权衡。 仿真不仅可以用来验证功能正确性，还可以为设计分析提供性能和功耗/能量信息。 本章使用两个应用——视频和神经网络——作为例子。 它们都是前沿的应用，能够展示系统级设计的许多重要方面。 显示英文摘要

摘要： System-level design, once the province of board designers, has now become a central concern for chip designers. Because chip design is a less forgiving design medium -- design cycles are longer and mistakes are harder to correct -- system-on-chip designers need a more extensive tool suite than may be used by board designers and a variety of tools and methodologies have been developed for system-level design of systems-on-chips (SoCs). System-level design is less amenable to synthesis than are logic or physical design. As a result, system-level tools concentrate on modeling, simulation, design space exploration, and design verification. The goal of modeling is to correctly capture the system's operational semantics, which helps with both implementation and verification. The study of models of computation provides a framework for the description of digital systems. Not only do we need to understand a particular style of computation, such as dataflow, but we also need to understand how different models of computation can reliably communicate with each other. Design space exploration tools, such as hardware/software co-design, develop candidate designs to understand trade-offs. Simulation can be used not only to verify functional correctness but also to supply performance and power/energy information for design analysis. This chapter employs two applications -- video and neural networks -- as examples. Both are leading-edge applications that illustrate many important aspects of system-level design.