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What is CUDA Baum-Welch for HMMs about?

This document summarizes a CUDA implementation of the Baum-Welch algorithm for hidden Markov models. It discusses parallelizing the algorithm on a GPU using techniques like texture memory and asynchronous data transfers. The implementation achieves a 19.44x speedup compared to a single-core CPU version. It provides background on hidden Markov models and the forward and Baum-Welch algorithms before describing the parallel GPU implementation and experimental results.

Author

Begüm Çığ

Language

EN