Maximal Causal Models for Sequentially Consistent Systems

This paper shows that it is possible to build a maximal and sound causal model for concurrent computations from a given execution trace. It is sound, in the sense that any program which can generate a trace can also generate all traces in its causal model. It is maximal (among sound models), in the sense that by extending the causal model of an observed trace with a new trace, the model becomes unsound: there exists a program generating the original trace which cannot generate the newly introduced trace. Thus, the maximal sound model has the property that it comprises all traces which al l programs that can generate the original trace can also generate. The existence of such a model is of great theoretical value. First, it can be used to prove the soundness of non-maximal, and thus smaller, causal models. Second, since it is maximal, the proposed model allows for natural and causal-model-independent definitions of trace-based properties; this paper proposes maximal definitions for causal dataraces and causal atomicity. Finally, although de???ned axiomatically, the set of traces comprised by the proposed model are shown to be effectively constructed from the original trace. Thus, maximal causal models are also amenable for developing practical analysis tools.unpublishednot peer reviewe