Reliability evaluation on interfacing with AXI and AXI-S on Xilinx Zynq-7000 AP-SoC

F. Benevenuti, F. Kastensmidt
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引用次数: 6

Abstract

This work is set in the context of fault tolerance and reliability of critical cyber-physical systems (CPS) based on state-of-art commercial off-the-shelf (COTS) SRAM-based FPGA devices and, in special, the all programmable system-on-chips (AP-SoC) that are a class of devices combining a general purpose processing system (PS) with custom programmable logic (PL). In SRAM-based FPGAs the Single Event Upsets (SEU) are unavoidable and may alter the contents of storage elements such as flip-flop and, of interest to this work, the configuration memory (CRAM). We analyze the case of Xilinx Zynq-7000, which is based on multi-core ARM processor that, ultimately, provides as one of its major communication interface the ARM Advanced Microcontroller Bus Architecture (AMBA) Advanced eXtensible Interface (AXI). In this context, we analyze reliability of communication interfaces between the embedded processor and the programmable logic and the different hardware modules on each side. For this, we deal with both (1) the development of experimental procedures and tools for fault injection on SRAM-based FPGAs and (2) the development of bottom-up reliability models that would allow estimating system level reliability by aggregating individual reliability from the different hardware modules and communication interfaces obtained from those experimental procedures and tools. In this scenario, fault injection contributes with fine grain reliability evaluation of each component module.
Xilinx Zynq-7000 AP-SoC上与axis和axis - s接口的可靠性评估
这项工作是在基于最先进的商用现货(COTS)基于sram的FPGA器件的关键网络物理系统(CPS)的容错和可靠性的背景下进行的,特别是,所有可编程片上系统(AP-SoC)是一类将通用处理系统(PS)与定制可编程逻辑(PL)相结合的器件。在基于sram的fpga中,单事件干扰(SEU)是不可避免的,并且可能会改变存储元素的内容,例如触发器,以及本工作感兴趣的配置存储器(CRAM)。我们分析了基于多核ARM处理器的Xilinx Zynq-7000的案例,该处理器最终提供了ARM高级微控制器总线架构(AMBA)高级可扩展接口(AXI)作为其主要通信接口之一。在此背景下,我们分析了嵌入式处理器与可编程逻辑之间的通信接口以及每端不同硬件模块的可靠性。为此,我们处理(1)在基于sram的fpga上开发用于故障注入的实验程序和工具,以及(2)开发自下而上的可靠性模型,该模型允许通过聚合来自不同硬件模块和从这些实验程序和工具获得的通信接口的单个可靠性来估计系统级可靠性。在该场景中,故障注入有助于对各个组件模块进行细粒度可靠性评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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