DocumentCode
3263261
Title
Coarse-Grain Parallelization of Neural Network-Based Face Detection Method
Author
Turchenko, Volodymyr ; Paliy, Ihor ; Demchuk, Viktor ; Smal, Ruslan ; Legostaev, L.
Author_Institution
Ternopil Nat. Econ. Univ., Ternopil
fYear
2007
fDate
6-8 Sept. 2007
Firstpage
155
Lastpage
158
Abstract
The paper describes the coarse-graining paralleling of the neural networks´ cascade training for the face detection method. The training parallelizing is done on Grid system using MPI technology. Experimental results show the decreasing of training time for the neural networks´ cascade in 1.3 times compared with a sequential execution on a single uniprocessor machine.
Keywords
face recognition; grid computing; neural nets; parallel processing; Grid system; MPI technology; coarse grain parallelization; face detection; neural network; Application software; Artificial neural networks; Computer networks; Concurrent computing; Distributed computing; Face detection; Grid computing; Intelligent networks; Neural networks; Parallel processing; Artificial Neural Networks´ Cascade; Computational Grid; Face Detection; Parallel Computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007. IDAACS 2007. 4th IEEE Workshop on
Conference_Location
Dortmund
Print_ISBN
978-1-4244-1347-8
Electronic_ISBN
978-1-4244-1348-5
Type
conf
DOI
10.1109/IDAACS.2007.4488395
Filename
4488395
Link To Document