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Full Discussion: High Performance Computing
Special Forums UNIX and Linux Applications High Performance Computing High Performance Computing Post 302257144 by humbletech99 on Tuesday 11th of November 2008 01:11:34 PM
Old 11-11-2008
High Performance Computing

I am interested in setting up some High Performance Computing clusters and would like to get people's views and experiences on this.

I have 2 requirements:

1. Compute clusters to do fast cpu intensive computations
2. Storage clusters of parallel and extendable filesystems spread across many nodes

Both of these should run across multiple commodity hardware nodes and ideally be Linux/Unix based and open source.

Any feedback welcome.
 

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GC(1)							      General Commands Manual							     GC(1)

NAME
gc - count graph components SYNOPSIS
gc [ -necCaDUrs? ] [ files ] DESCRIPTION
gc is a graph analogue to wc in that it prints to standard output the number of nodes, edges, connected components or clusters contained in the input files. It also prints a total count for all graphs if more than one graph is given. OPTIONS
The following options are supported: -n Count nodes. -e Count edges. -c Count connected components. -C Count clusters. By definition, a cluster is a graph or subgraph whose name begins with "cluster". -a Count all. Equivalent to -encC -r Recursively analyze subgraphs. -s Print no output. Only exit value is important. -D Only analyze directed graphs. -U Only analyze undirected graphs. -? Print usage information. By default, gc returns the number of nodes and edges. OPERANDS
The following operand is supported: files Names of files containing 1 or more graphs in dot format. If no files operand is specified, the standard input will be used. EXIT STATUS
The following exit values are returned: 0 Successful completion. 1 The -U or -E option was used, and a graph of the wrong type was encountered. AUTHOR
Emden R. Gansner <erg@research.att.com> SEE ALSO
wc(1), acyclic(1), gvpr(1), gvcolor(1), ccomps(1), sccmap(1), tred(1), libgraph(3) 21 March 2001 GC(1)
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