Abstract

FPGAs are increasingly used in safety-critical applications (e.g., in aerospace and automotive engineering). Safety standards stipulate that implemented countermeasures against run-time faults such as detection and isolation of affected components, automatic reconfiguration, and redundancy mechanisms must be adequately verified. To that end, fault injection tests by various means have been established as a suitable method.For such tests, faults can be provoked by radiation, simulation, or manipulating the design, for example, by inserting additional logic or manipulating the synthesis flow. This work briefly summarizes the various fault injection approaches with a focus on methods that are capable of stressing critical nets of a design running on actual hardware without requiring to re-synthesize. While the state-of-the-art tools can work with complex designs, they often lack controllability of the exact timing of the injection events (which is important to track the system’s response on faults in a logic simulation) and/or use a high amount of FPGA resources. To overcome these issues, we propose a resource-saving netlist-based fault injection framework Fault InJection Instrumenter (FIJI) that can target individual nets at test runtime. This paper presents FIJI’s work flow, implementation details, and an evaluation in terms of FPGA resources, timing impact, and performance during instrumentation and test execution. The FIJI framework has been made publicly available by the authors under an open-source license.

Highlights

  • FPGAs are increasingly used in safety-critical systems such as autonomous cars, airplanes, spacecrafts, and industrial applications

  • A survey on the legal and methodological standards by Bernardeschi et al [2] concludes: “The main issues related to the design of FPGA-based systems and their adoption in safety-critical application fields are the lack of standards addressing the FPGA technology and the severe susceptibility of FPGA devices to the

  • 5 Evaluation This section provides an overview over empirically determined tool runtimes for a number of designs with different netlist sizes, as well as the influence of Fault InJection Instrumenter (FIJI)’s hardware instrumentation on a design’s performance and resource usage

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Summary

Introduction

FPGAs are increasingly used in safety-critical systems such as (partially) autonomous cars, airplanes, spacecrafts, and industrial applications. The most distinctive ones are customizability, short time to market, and (fast) run-time reconfiguration [1]. Due to their architecture, the usual harsh environmental conditions they operate in, and strict (legal) requirements on high availability and safety, many aspects need to be considered before using them in such applications. The predominant type of FPGAs rely on SRAM to hold their configuration during operation. This configuration specifies the behavior of functional blocks within the FPGA and their interconnections.

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