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Dependability analysis using a fault injection tool based on synthesizability of HDL models

机译:使用故障注入工具基于HDL模型的综合性进行可靠性分析

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This paper presents a fault injection tool called SINJECT that supports several synthesizable and non-synthesizable fault models for dependability analysis of digital systems modeled by popular HDLs. The tool provides injection of transient and permanent faults into the Verilog as well as VHDL models of a digital circuit to study the fault behavior, fault propagation and fault coverage. Moreover, using specific simulators, the SINJECT provides a mixed-mode fault injection, i.e., fault injection into both Verilog and VHDL parts of a model, to achieve high description reality by Verilog and high capability modeling by VHDL. To demonstrate the tool, two case studies are evaluated: (1) an arithmetic processor with a non-synthesizable Verilog model, called ARP; and (2) a VHDL model of 32-bit processor with a synthesizable ALU, called DP32. The results show that depending on the fault injection points in the ARP, the effects of faults were significantly different, while in the case of DP32, the fault coverage varied between 51 to 56 percent of total faults injected.
机译:本文提出了一种称为SINJECT的故障注入工具,该工具支持几种可综合和不可综合的故障模型,用于对由流行的HDL建模的数字系统进行可靠性分析。该工具可将瞬态和永久性故障注入到数字电路的Verilog以及VHDL模型中,以研究故障行为,故障传播和故障范围。此外,通过使用特定的模拟器,SINJECT提供了混合模式故障注入,即,将故障注入模型的Verilog和VHDL部分,以通过Verilog实现高描述性和通过VHDL实现高性能建模。为了演示该工具,对两个案例研究进行了评估:(1)具有不可合成的Verilog模型的算术处理器,称为ARP; (2)具有可综合ALU的32位处理器的VHDL模型,称为DP32。结果表明,根据ARP中的故障注入点,故障的影响显着不同,而对于DP32,故障覆盖率在注入的总故障的51%到56%之间变化。

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