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Incorporating MPI programming model into data-intensive file system for big data application is significant in performance research for optimization purpose. In this paper we ported an MPI-SVM solver, originally developed for HPC environment to the Hadoop distributed file system (HDFS). We analyzed the performance bottlenecks with which the SVM solver will be confronted on the HDFS. It is known the...
This paper presents a one-layer recurrent neural network for solving convex programming problems subject to linear equality and nonnegativity constraints. The number of neurons in the neural network is equal to that of decision variables in the optimization problem. Compared with the existing neural networks for optimization, the proposed neural network has lower model complexity. Moreover, the proposed...
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