Grid vs. Parallel vs. Distributed Post: 302094618

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Special Forums UNIX and Linux Applications High Performance Computing Grid vs. Parallel vs. Distributed Post 302094618 by rhfrommn on Monday 30th of October 2006 11:23:58 AM

10-30-2006

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I agree mostly with Perderabo's definitions. I'd just add examples.

Parallel Computing - A vector supercomputer like a Cray. Older Cray's like the Y/MP and so on. I know they are now making more distributed/clustered supercomputers too, but the big single Cray boxes are the example of Parallel supercomputing.

Distributed Computing - A huge set of systems all doing the same thing. You can add, remove, and replace an individual one without affecting the overall service at all. Something like the huge Google linux farms that handle search requests.

Grid Computing - I can't come up with a better example than Perderabo's SETI screensaver grid. A commercial example would be Sun's grid they rent out for $1 per hour per cpu.

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LEARN ABOUT SUSE

ipcontroller

IPCONTROLLER(1) 														   IPCONTROLLER(1)

NAME

       ipcontroller - IPython parallel computing controller control tool

SYNOPSIS

       ipengine [options]

DESCRIPTION

       ipcontroller is a control tool for IPython's parallel computing functions.

OPTIONS

       -h, --help
	      show this help message and exit

       --client-ip=CLIENT_IP
	      the IP address or hostname the controller will listen on for client connections

       --client-port=CLIENT_PORT
	      the port the controller will listen on for client connections

       --client-location=CLIENT_LOCATION
	      hostname or ip for clients to connect to

       -x     turn off all client security

       --client-cert-file=CLIENT_CERT_FILE
	      file to store the client SSL certificate

       --task-furl-file=TASK_FURL_FILE
	      file to store the FURL for task clients to connect with

       --multiengine-furl-file=MULTIENGINE_FURL_FILE
	      file to store the FURL for multiengine clients to connect with

       --engine-ip=ENGINE_IP
	      the IP address or hostname the controller will listen on for engine connections

       --engine-port=ENGINE_PORT
	      the port the controller will listen on for engine connections

       --engine-location=ENGINE_LOCATION
	      the IP address or hostname for engine to connect to

       -y     turn off all engine security

       --engine-cert-file=ENGINE_CERT_FILE
	      file to store the engine SSL certificate

       --engine-furl-file=ENGINE_FURL_FILE
	      file to store the FURL for engines to connect with

       -l LOGFILE, --logfile=LOGFILE
	      log file name (default is stdout)

       -r     try to reuse all furl files

SEE ALSO

       ipython(1),ipcluster(1),ipengine(1)

AUTHOR

       ipcontroller is a tool that ships with IPython, created by the IPython Development Team.

       This  manual  page  was written by Stephan Peijnik <debian@sp.or.at>, for the Debian project (but may be used by others).  Modified by Fer-
       nando Perez <Fernando.Perez@berkeley.edu> for inclusion in IPython.

								 October 29, 2008						   IPCONTROLLER(1)