基于分组故障效应传播预测的新型体系结构级故障模拟

M. Hsiao, J. Patel
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引用次数: 19

摘要

提出了一种在体系结构层面处理故障仿真的新技术。该技术绕过了对完整的门级结构的需要,并有效地利用了建筑信息。表示故障组的符号数据,称为故障效应,通过智能传播预测在电路中传播。在这个过程中,故障效应可能会组合并形成新的组。采用仅使用三种数据类型的自动行为模拟,通过传播预测在体系结构级别传播故障效应;模拟不需要额外的高级约束或错误行为的预计算。虽然ALFSIM算法不是完全确定的算法,但与门级故障仿真相比,其结果显示出较高的精度。
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A new architectural-level fault simulation using propagation prediction of grouped fault-effects
A new technique is proposed to handle fault simulation at the architectural level. The technique bypasses the need for complete gate level structure and efficiently uses the architectural information. Symbolic data representing groups of stuck at faults, known as fault effects, are propagated across the circuit with intelligent propagation prediction. Fault effects may combine and form new groups in the process. Automated behavioral simulation using only three data types is used to propagate fault effects at the architectural level by propagation prediction; no additional high level constraints or precomputation of faulty behavior are needed for simulation. Although not a fully deterministic algorithm, the results of ALFSIM, Architectural Level Fault Simulation, show high accuracy when compared with the gate level fault simulation.
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