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In this paper, a Massively Parallel Processor Array platform is characterized in terms of energy consumption using a Support Vector Machine for hyperspectral image classification. This platform gathers 16 clusters composed of 16 cores each, i.e., 256 processors working in parallel. The objective of the work is to associate power dissipation and energy consumed by the platform with the different resources...
This paper presents a study of the par alle lization possibilities of a Non-Linear Iterative Partial Least Squares algorithm and its adaptation to a Massively Parallel Processor Array manycore architecture, which assembles 256 cores distributed over 16 clusters. The aim of this work is twofold: first, to test the behavior of iterative, complex algorithms in a manycore architecture; and, secondly,...
In this paper, a study of the parallel exploitation of a Support Vector Machine (SVM) classifier with a linear kernel running on a Massively Parallel Processor Array platform is exposed. This system joins 256 cores working in parallel and grouped in 16 different clusters. The main objective of the research has been to develop an optimal implementation of the SVM classifier on a MPPA platform whilst...
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