Building Linux cluster for mechanical engineering software Post: 302918888

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Special Forums UNIX and Linux Applications High Performance Computing Building Linux cluster for mechanical engineering software Post 302918888 by Don Cragun on Friday 26th of September 2014 03:34:02 AM

09-26-2014

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Some of your questions are so vague that it is hard to make any informed suggestions. How would you respond if you got a request from someone to tell them how to choose the best vehicle? (Who is going to be driving it? How many passengers do you need to carry? How much weight do you need to be able to tow? How much secured cargo space do you need? What are the weather conditions where it will be driven? What type of terrain does it need to traverse? ...)

I know very little about about ME and nothing about Ansys CFD. Are you trying to build a cluster to support hundreds of users submitting thousands of jobs? Are you trying to build a cluster than can break a single huge job into thousands of threads and run all of those threads simultaneously? Do you have any experience writing thread-safe code?

Can you use only open-source software? Of course you can! You can write all of the code you need and make it available for everyone to use as they see fit.

Does open-source software already exist for all of the code you want to run? How can we guess at that from what you've told us? We have no idea what all of the code you want to run needs to do.

If you don't know the difference between a heterogeneous cluster and a homogeneous cluster, you probably don't have the background needed to design the cluster you want. Please consider hiring an architect with experience setting up and running an HPC data center who you can sit down with and discuss budget, capabilities, computing projects to be run, users to be supported, software to be run, software to be written, etc., etc., etc. Setting up an HPC data center is a very complex, expensive undertaking.

Don Cragun

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LEARN ABOUT CENTOS

cluster

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)