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Numerical analysis of Markovian models is relevant for performance evaluation and probabilistic analysis of systems' behavior from several fields in science and engineering. These models can be represented in a compact fashion using Kronecker algebra. The Vector-Descriptor Product (VDP) is the key operation to obtain stationary and transient solutions of models represented by Kronecker-based descriptors. VDP algorithms are usually CPU intensive, requiring alternatives such as data partitioning to produce results in less time. This paper introduces a set of parallel implementations of a hybrid algorithm for handling descriptors and a detailed performance analysis on four real Markovian models.
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