RAG: An efficient reliability analysis of logic circuits on graphics processing units

In this paper, we present RAG, an efficient Reliability Analysis tool based on Graphics processing units (GPU). RAG is a fault injection based parallel stochastic simulator implemented on a state-of-the-art GPU. A two-stage simulation framework is proposed to exploit the high computation efficiency of GPUs. Experimental results demonstrate the accuracy and performance of RAG. An average speedup of 412× and 198× is achieved compared to two state-of-the-art CPU-based approaches for reliability analysis.