Julian Dolby, Achille Fokoue, et al.
ISWC 2009
ThE paper presents an efficient on-the-fly method for detecting access anomalies in programs that contain critical section coordinw tion. For a large class of programs, a single execution instance is sufficient to determine theexistence of an acceeaanomaly for a given input when the proposed method is used. In contrast, for the same class of programs, previous on-the-fly methods for handling critical sections can fail to detect anomalies for a given input, and can require N! execution instances to find an anomaly, where N is the degree of parallelism. An algorithm for statically determining which programs are in this class is described. © 1991, ACM. All rights reserved.
Julian Dolby, Achille Fokoue, et al.
ISWC 2009
Guoqing Xu, Nick Mitchell, et al.
PLDI 2010
Guoqing Xu, Nick Mitchell, et al.
ACM TOSEM
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Data Mining and Knowledge Discovery