I/O bound computing clusters

 
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Old 08-25-2012
I/O bound computing clusters

I want to build a computing cluster and have been looking into grid solutions. My understanding from grid solutions is that participating nodes have to actually sign up to participate in a computation and that an isolated piece of work is sent to the node through a request from that node (pull). Along that reasoning, would a solution whereby a controlling machine sends work to whichever node is available not be a grid solution (push)?

The problem we will be solving is data-intensive, so we will be looking at an I/O bound problem. What methodology is used whereby the data sits on one machine and the nodes use that data? Could a partitioning of the database work, whereby a node only works on the data in the partition and no other?
 
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svm-grid(1)							   User Manuals 						       svm-grid(1)

NAME
svm-grid - a parameter selection tool for LIBSVM SYNOPSIS
svm-grid [-log2c begin,end,step ] [ -log2g begin,end,step ] [ -v fold ] [ -svmtrain pathname ] [ -gnuplot pathname ] [ -out pathname ] [ -png pathname ] [ additional_parameters_for_svm-train ] dataset DESCRIPTION
grid.py is a parameter selection tool for C-SVM classification using the RBF (radial basis function) kernel. It uses cross validation (CV) technique to estimate the accuracy of each parameter combination in the specified range and helps you to decide the best parameters for your problem. FILES
See svm-train(1) for the format of dataset EXAMPLES
svm-grid -log2c -5,5,1 -log2g -4,0,1 -v 5 -m 300 heart_scale BUGS
Please report bugs to the Debian BTS. AUTHOR
Chih-Chung Chang, Chih-Jen Lin <cjlin@csie.ntu.edu.tw>, Chen-Tse Tsai <ctse.tsai@gmail.com> (packaging) SEE ALSO
svm-train(1), svm-predict(1) Linux DEC 2009 svm-grid(1)