Coalescing executions for fast uncertainty analysis
Proceedings of the 33rd International Conference on Software Engineering
White box sampling in uncertain data processing enabled by program analysis
Proceedings of the ACM international conference on Object oriented programming systems languages and applications
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We present a parallel algorithm for Monte Carlo simulation of molecular beam epitaxial growth (MBE) focusing on the software we have developed and the experiences gained. An efficient sequential method to do MBE simulation was developed that uses a single binary tree to store the rates of occurrence of all possible events at a given time. The challenge was to find a way to adapt this method to a parallel machine.