DocumentCode
704130
Title
A Hybrid Parallel Implementation of Model Selection for Support Vector Machines
Author
Ripepi, Giuseppe ; Clematis, Andrea ; D´Agostino, Daniele
Author_Institution
Nat. Res. Council of Italy, Inst. of Appl. Math. & Inf. Technol., Genoa, Italy
fYear
2015
fDate
4-6 March 2015
Firstpage
145
Lastpage
149
Abstract
The Model Selection (MS) is an important part of any statistical analysis, and for Support Vector Machine becomes crucial in order to reach the best performance. However, the MS is a compute intensive and non-convex problem, therefore an efficient parallelization is highly desirable. For this reason, in this work we compare two different approaches in MS parallelization, based on the use of MPI and hybrid MPI+OpenMP composition. Results show a clear and considerable advantage in using the latter solution.
Keywords
application program interfaces; message passing; statistical analysis; support vector machines; OpenMP; hybrid MPI; hybrid parallel implementation; model selection; statistical analysis; support vector machines; Computational modeling; Computer architecture; Kernel; Mathematical model; Optimization; Support vector machines; Training; Hybrid paradigm; MPI; Model Selection; OpenMP; Support Vector Machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel, Distributed and Network-Based Processing (PDP), 2015 23rd Euromicro International Conference on
Conference_Location
Turku
ISSN
1066-6192
Type
conf
DOI
10.1109/PDP.2015.97
Filename
7092712
Link To Document