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Full Discussion: I/O bound computing clusters
Special Forums UNIX and Linux Applications High Performance Computing I/O bound computing clusters Post 302691975 by jim mcnamara on Sunday 26th of August 2012 10:17:02 PM
Old 08-26-2012
Is it a database or a LUN? Either way you can get to the data, but you do have a wonderful chance of becoming i/o bound.

There are ways around this: creating logical partitions either as tables or LUNs, each on separate physical LUN/tablspace file/devices.

Can you give us more information?
 

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CLUSTER(1)						      General Commands Manual							CLUSTER(1)

NAME
cluster - find clusters in a graph and augment the graph with this information. SYNOPSIS
cluster [-v?] [ -Ck ] [ -ck ] [ -o outfile ] [ files ] DESCRIPTION
cluster takes as input a graph in DOT format, finds node clusters and augments the graph with this information. The clusters are specified by the "cluster" attribute attached to nodes; cluster values are non-negative integers. cluster attempts to maximize the modularity of the clustering. If the edge attribute "weight" is defined, this will be used in computing the clustering. OPTIONS
The following options are supported: -Ck specifies a targeted number of clusters that should be generated. The specified number k is only a suggestion and may not be real- isable. If k == 0, the default, the number of clusters that approximately optimizes the modularity is returned. -ck specifies clustering method. If k == 0, the default, the modularity will be used. If k == 1 modularity quality will be used. -ooutfile Specifies that output should go into the file outfile. By default, stdout is used. -v Verbose mode. EXAMPLES
Applying cluster to the following graph, graph { 1--2 [weight=10.] 2--3 [weight=1] 3--4 [weight=10.] 4--5 [weight=10] 5--6 [weight=10] 3--6 [weight=0.1] 4--6 [weight=10.] } gives graph { node [cluster="-1"]; 1 [cluster=1]; 2 [cluster=1]; 3 [cluster=2]; 4 [cluster=2]; 5 [cluster=2]; 6 [cluster=2]; 1 -- 2 [weight="10."]; 2 -- 3 [weight=1]; 3 -- 4 [weight="10."]; 4 -- 5 [weight=10]; 5 -- 6 [weight=10]; 3 -- 6 [weight="0.1"]; 4 -- 6 [weight="10."]; } AUTHOR
Yifan Hu <yifanhu@research.att.com> SEE ALSO
gvmap(1) Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment (2008), P10008. 3 March 2011 CLUSTER(1)
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