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Computing

, Volume 99, Issue 11, pp 1105–1123 | Cite as

Accelerating Viterbi algorithm on graphics processing units

Article

Abstract

Viterbi algorithm is used in different scientific applications including biological sequence alignment, speech recognition, and probabilistic inference. However, high computational complexity of the Viterbi algorithm is a major concern. Accelerating the Viterbi algorithm is important, especially when the number of states or the length of the sequences increase significantly. In this paper, a parallel solution to improve the performance of Viterbi algorithm is presented. This is achieved by formulating a matrix product based algorithm. This algorithm has been mapped to a NVIDIA graphics processing unit. The performance for different parameters and realizations are compared. The results depicts matrix product is not a viable option for small number of states. However, matrix product solution using shared memory for large number of states gains good performance when compared with the serial version.

Keywords

Hidden Markov model Viterbi algorithm Matrix product Graphics processing unit CUDA 

Mathematics Subject Classification

68W10 

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Copyright information

© Springer-Verlag Wien 2017

Authors and Affiliations

  1. 1.Department of Computer ScienceGovernment College UniversityFaisalabadPakistan
  2. 2.Institute of Embedded SystemsHamburg University of TechnologyHamburgGermany

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