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The Calling Context Tree (CCT) is a prevailing datastructure for calling context profiling. As generating a complete CCT reflecting every method call is expensive, recent research has focused on efficiently approximating the CCT with sampling techniques. However, for tasks such as debugging, testing, and reverse engineering, complete and accurate CCTs are often needed. In this paper, we introduce the ParCCT, a novel approach to parallelizing application code and CCT generation on multicores.doi:10.1145/1596655.1596672 dblp:conf/pppj/BinderAVM09 fatcat:ugqispoz7zbyxo6hygdciaafd4