Literature DB >> 33671174

Fault Injection Emulation for Systems in FPGAs: Tools, Techniques and Methodology, a Tutorial.

Óscar Ruano1, Francisco García-Herrero1, Luis Alberto Aranda1, Alfonso Sánchez-Macián1, Laura Rodriguez1, Juan Antonio Maestro1.   

Abstract

Communication systems that work in jeopardized environments such as space are affected by soft errors that can cause malfunctions in the behavior of the circuits such as, for example, single event upsets (SEUs) or multiple bit upsets (MBUs). In order to avoid this erroneous functioning, this kind of systems are usually protected using redundant logic such as triple modular redundancy (TMR) or error correction codes (ECCs). After the implementation of the protected modules, the communication modules must be tested to assess the achieved reliability. These tests could be driven into accelerator facilities through ionization processes or they can be performed using fault injection tools based on software simulation such as the SEUs simulation tool (SST), or based on field-programmable gate array (FPGA) emulation like the one described in this work. In this paper, a tutorial for the setup of a fault injection emulation platform based on the Xilinx soft error mitigation (SEM) intellectual property (IP) controller is depicted step by step, showing a complete cycle. To illustrate this procedure, an online repository with a complete project and a step-by-step guide is provided, using as device under test a classical communication component such as a finite impulse response (FIR) filter. Finally, the integration of the automatic configuration memory error-injection (ACME) tool to speed up the fault injection process is explained in detail at the end of the paper.

Entities:  

Keywords:  FIR filter; SEM IP; SEU; Xilinx; communication modules; emulation; fault injection debugger

Year:  2021        PMID: 33671174     DOI: 10.3390/s21041392

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  1 in total

1.  Hardware-in-the-Loop-Based Real-Time Fault Injection Framework for Dynamic Behavior Analysis of Automotive Software Systems.

Authors:  Mohammad Abboush; Daniel Bamal; Christoph Knieke; Andreas Rausch
Journal:  Sensors (Basel)       Date:  2022-02-10       Impact factor: 3.576

  1 in total

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