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

nGFSIM : A GPU-based fault simulator for 1-to-n detection and its applications
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nGFSIM:基于GPU的1对n检测故障模拟器及其应用

DOI:
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发表时间:
2010
期刊:
2010 IEEE International Test Conference
影响因子:
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通讯作者:
Xiaowei Li
Xiaowei Li
中科院分区:
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文献类型:
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作者:
Huawei Li;Dawen Xu;Yinhe Han;K. Cheng;Xiaowei Li

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我们提出了nGFSIM,一个基于gpu的故障模拟器,用于卡在故障,它可以报告故障覆盖1到n检测任何指定的整数n,仅使用一次故障模拟运行。nGFSIM探索了GPU架构中的大规模并行性,优化了内存访问和使用,实现了加速故障模拟,而无需进行故障丢弃。我们表明,与商业工具相比,nGFSIM提供了25倍的加速,并在测试选择中实现了新的应用。
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.