Abstract：]In DefUse fault detection,the path from source to sink tends to be long and numerous.The range of pathsensitive detection analysis is usually large,especially for largescale applications.To effectively control the analysis overhead,we proposed a parallel unsafe path extraction strategy based on GPU,which greatly reduced the analysis range for pathsensitive detection.Evaluation results show that our approach achieved best of 22.27x speedup,which indicate good performance for pathsensitive detection scalability optimization.
朱敬茹,衷璐洁,马冬冬,黄晓. 一种基于GPU的危险路径并行提取方法[J]. 小型微型计算机系统, 2017, 38(10): 2363-2368.
ZHU Jing-ru,ZHONG Lu-jie,MA Dong-dong,HUANG Xiao. Approach to Extract Unsafe Path Set for Path-sensitive Detection Parallelly Based on GPU. Journal of Chinese Computer Systems, 2017, 38(10): 2363-2368.
2017, Vol. 38 
