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Area-efficient event stream ordering for runtime observability of embedded systems

机译:区域高效的事件流订购嵌入式系统的运行时可观察性

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The complexity of embedded systems presents key challenges for in-situ monitoring and analysis of complex hardware and software interactions. System-level observation methods have enabled nonintrusive runtime methods for monitoring this complex behavior across hardware and software boundaries and for deeply embedded components. Previous system-level observation methods utilized an efficient pipelined hardware architecture to ensure events are reported in-order based on the event occurrence. While providing high throughput for reporting events, this approach requires significant area resources. In this paper, we present an area-efficient event stream ordering technique that significantly reduces area requirements with tradeoff in event stream throughput.
机译:嵌入式系统的复杂性呈现出原位监测和分析复杂硬件和软件交互的关键挑战。系统级观察方法已启用非流程运行时方法,用于监视硬件和软件边界以及深度嵌入式组件的这种复杂行为。以前的系统级观察方法利用有效的流水线硬件架构,以确保基于事件发生的按顺序报告事件。在为报告事件提供高吞吐量的同时,这种方法需要重要的区域资源。在本文中,我们介绍了一个区域有效的事件流订购技术,可以在事件流吞吐量中显着降低具有折衷的区域要求。

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