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Toward exploitation of cell multi‐processor array in time‐consuming applications by using CNN model
Author(s) -
Nagy Zoltán,
Kék László,
Kincses Zoltán,
Kiss András,
Szolgay Péter
Publication year - 2008
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.508
Subject(s) - computer science , kernel (algebra) , ibm , nonlinear system , parallel computing , piecewise linear function , power (physics) , partial differential equation , array data structure , computational science , computer hardware , algorithm , mathematics , mathematical analysis , materials science , physics , geometry , quantum mechanics , combinatorics , nanotechnology , programming language
Array computers can be useful in the solution of numerical spatio‐temporal problems such as the state equation of the CNN or partial differential equations (PDE). IBM has recently introduced the cell broadband engine (cell BE) architecture, which contains eight identical vector processors in an array structure. In this paper the implementation of CNN simulation kernel on the cell BE is described. The simulation kernel is optimized according to the special requirements of the cell BE and can implement linear as well as nonlinear (piecewise linear) templates. In addition, the 2‐D Princeton ocean model is implemented on the cell BE. The area/speed/power tradeoffs of our solution and different hardware implementations are also compared. Copyright © 2008 John Wiley & Sons, Ltd.