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Deployment of a Regularized Feature Selection Framework on an Overlay Desktop Grid

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2 Author(s)
Barla, A. ; Dipt. di Inf. e Sci. dell''Inf., Univ. degli Studi di Genova, Genova, Italy ; Ferrante, M.

We present an inexpensive solution to overcome the computational challenges of a state-of-the art feature selection framework. The algorithm relies on two nested loops of cross validation that allow the optimal choice for the regularization parameters resulting in a computationally expensive procedure. In order to speed up the process, we perform the loops on a desktop grid facility deployed on PCs in computer rooms as virtual machines connected through a VPN. The local grid shares resources with similar grids managed by other North Italian universities.

Published in:

High Performance Computational Systems Biology, 2009. HIBI '09. International Workshop on

Date of Conference:

14-16 Oct. 2009

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