DocumentCode
116708
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
fYear
2014
fDate
2-4 Oct. 2014
Firstpage
571
Lastpage
573
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Actual Problems of Electronics Instrument Engineering (APEIE), 2014 12th International Conference on
Conference_Location
Novosibirsk
Print_ISBN
978-1-4799-6019-4
Type
conf
DOI
10.1109/APEIE.2014.7040749
Filename
7040749
Link To Document