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This work presents a tensor-based formulation of the Viterbi algorithm for HSMMs, restructuring the inner loops into tensor operations that naturally map onto SIMD units and massively parallel architectures and provides optimized implementations spanning single- and multi-core CPUs, and, for the first time, GPU.
