On implementation of EM-type algorithms in the stochastic models for a matrix computing on GPU

Publication type: Proceedings Article
Publication date: 2015-03-11
AIP Publishing
SJR: 0.153
CiteScore: 0.5
Impact factor: —
ISSN: 0094243X, 15517616
Abstract
The paper discusses the main ideas of an implementation of EM-type algorithms for computing on the graphics processors and the application for the probabilistic models based on the Cox processes. An example of the GPU’s adapted MATLAB source code for the finite normal mixtures with the expectation-maximization matrix formulas is given. The testing of computational efficiency for GPU vs CPU is illustrated for the different sample sizes.
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GOST Copy
Gorshenin A. On implementation of EM-type algorithms in the stochastic models for a matrix computing on GPU // AIP Conference Proceedings. 2015.
GOST all authors (up to 50) Copy
Gorshenin A. On implementation of EM-type algorithms in the stochastic models for a matrix computing on GPU // AIP Conference Proceedings. 2015.
RIS |
Cite this
RIS Copy
TY - CPAPER
DO - 10.1063/1.4912512
UR - https://doi.org/10.1063/1.4912512
TI - On implementation of EM-type algorithms in the stochastic models for a matrix computing on GPU
T2 - AIP Conference Proceedings
AU - Gorshenin, Andrey
PY - 2015
DA - 2015/03/11
PB - AIP Publishing
SN - 0094-243X
SN - 1551-7616
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@inproceedings{2015_Gorshenin,
author = {Andrey Gorshenin},
title = {On implementation of EM-type algorithms in the stochastic models for a matrix computing on GPU},
year = {2015},
month = {mar},
publisher = {AIP Publishing}
}