Title :
Graphics processing unit implementation of Hidden Markov models
Author :
Gultyaeva, T.A. ; Sautin, A.S. ; Uvarov, V.E.
Author_Institution :
Novosibirsk state Tech. Univ., Novosibirsk, Russia
Abstract :
The article presents a method of Graphics Processing Unit (GPU) implementation of Hidden Markov Models (HMM) for the task of multidimensional sequences classification. The execution times of method on Central Processing Unit (CPU) and GPU were compared.
Keywords :
graphics processing units; hidden Markov models; learning (artificial intelligence); mathematics computing; central processing unit; graphics processing unit; hidden Markov model; machine learning; multidimensional sequence classification; Central Processing Unit; Estimation; Graphics processing units; Hidden Markov models; Kernel; Parameter estimation; Probability; graphics processing units; hidden Markov models; machine learning;
Conference_Titel :
Actual Problems of Electronics Instrument Engineering (APEIE), 2014 12th International Conference on
Conference_Location :
Novosibirsk
Print_ISBN :
978-1-4799-6019-4
DOI :
10.1109/APEIE.2014.7040749
