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nGFSIM : A GPU-based fault simulator for 1-to-n detection and its applications

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5 Author(s)
Huawei Li ; Key Laboratory of Computer System and Architecture, Institute of Computing Technology, Chinese Academy of Sciences, China ; Dawen Xu ; Yinhe Han ; Kwang-Ting Cheng
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We present nGFSIM, a GPU-based fault simulator for stuck-at faults which can report the fault coverage of one-to n-detection for any specified integer n using only a single run of fault simulation. nGFSIM, which explores the massive parallelism in the GPU architecture and optimizes the memory access and usage, enables accelerated fault simulation without the need of fault dropping. We show that nGFSIM offers a 25X speedup in comparison with a commercial tool and enables new applications in test selection.

Published in:

2010 IEEE International Test Conference

Date of Conference:

2-4 Nov. 2010