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<!doctype html public "-//w3c//dtd html 4.0 transitional//en"> |
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<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1"> |
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<meta name="GENERATOR" content="Mozilla/4.72 [en] (X11; U; Linux 2.2.14-5.0 i686) [Netscape]"> |
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<title>viaCVS</title> |
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<body text="#000000" bgcolor="#FFFFFF" link="#0000EF" vlink="#51188E" alink="#FF0000"> |
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<center> |
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<h2> |
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Hardware/software requirements</h2></center> |
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This page summarises computer system requirements for using MITgcm in a |
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<a href="../online_documents/manual/sarch.html#fig:mitgcm_architecture_goals">range |
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of scenarios</a> that spans simulations on a desktop PC to simulations |
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run on a high-end supercomputer. The side bar on the left contains |
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links to sites from which third party software and hardware, which you |
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may require, can be obtained. The text below and the <a href="../online_documents/index.html" target="mainFrame">online |
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document</a> explain in what situations you will need these items. |
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In many cases the software you need will already be installed on your computer |
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system and you can go straight ahead and <a href="../getting_started/index.html" target="mainFrame">start |
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using</a> the model. |
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<p><b>MITgcm</b> |
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<ul> |
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<li> |
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runs on a wide <a href="../online_documents/manual/targethw.html">range |
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of computer systems.</a></li> |
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<li> |
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includes special software (called <a href="../online_documents/manual/wrapper.html">WRAPPER</a>) |
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to support efficient execution and relatively easy portablity.</li> |
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</ul> |
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<b>Platforms where MITgcm is run regularly include</b> |
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<ul> |
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<li> |
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<a href="sideMenuBarFrame.html#hardware" target="sideMenuBarFrame">Unix |
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PC's</a> ( both Intel and AMD processor based) running Linux.</li> |
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<li> |
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<a href="sideMenuBarFrame.html#hardware" target="sideMenuBarFrame">Unix |
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workstations</a> from Sun, SGI, HP, IBM, Compaq.</li> |
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<li> |
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Unix based PC and workstation <a href="sideMenuBarFrame.html#interconnects" target="sideMenuBarFrame">clusters</a>.</li> |
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<li> |
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high-end <a href="sideMenuBarFrame.html#hardware" target="sideMenuBarFrame">symetric |
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multi-processor systems</a>.</li> |
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</ul> |
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|
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<ul>Under the WRAPPER, code can also run very efficiently on high-end vector |
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processing systems, but we can't afford one.</ul> |
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<b>The minimum you require to run the model is</b> |
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<ul> |
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<li> |
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a computer runing a <a href="sideMenuBarFrame.html#os" target="sideMenuBarFrame">Unix |
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style operating system</a>.</li> |
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<li> |
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a Fortran 77, Fortran 90 or Fortran 95 <a href="sideMenuBarFrame.html#compilers" target="sideMenuBarFrame">compiler</a>.</li> |
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<li> |
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a <a href="sideMenuBarFrame.html#compilers" target="sideMenuBarFrame">C |
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compiler</a>.</li> |
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</ul> |
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<b>To run parallel configurations you need</b> |
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<ul> |
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a multi-process <a href="sideMenuBarFrame.html#hardware" target="sideMenuBarFrame">computer</a></li> |
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<br>and either of |
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<li> |
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a <a href="sideMenuBarFrame.html#compilers" target="sideMenuBarFrame">compiler</a> |
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and that supports multi-threaded programs.</li> |
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<li> |
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a system with an implementation of the <a href="sideMenuBarFrame.html#parallelism" target="sideMenuBarFrame">MPI |
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library installed</a>.</li><br><br> |
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Instructions on running multi-process codes can be found <a href=x>here</a>. |
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Instructions regarding muti-threaded execution can be found <a href=x>here</a>. |
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Specialized communication software, to optimize performance on a specific |
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platform, can also be introduced into the WRAPPER. This process |
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is discussed <a href=x>here</a>. Before running a parallel code we recommend you try one of the |
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<a href=x>basic examples</a></ul> |
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<b>To perform derivative calculations you need</b> |
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<ul> |
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<li> |
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an <a href="sideMenuBarFrame.html#differentiation" target="sideMenuBarFrame"> |
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automatic differentiation tool</a>. |
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</li><br> |
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An example experiment illustrating the automatic differentiation |
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process can be found <a href=x>here</a>. |
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</ul> |
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<p><br><b>Once you have your computer set up</b> |
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<blockquote>go <a href="../getting_started/index.html" target=mainFrame>here </a> |
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to find out how to download the model. The full distribution (including |
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examples with input datasets and sample output) is around 50MB. Instructions |
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on estimating the computing resource requirements (CPU time, memory usage |
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and disk space) for a set of numerical experiments can be found here.</blockquote> |
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<p><br><b>Simulation output is usually examined</b> |
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<blockquote>using one of several |
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<a href="sideMenuBarFrame.html#analysis" target="sideMenuBarFrame">standard analysis tools</a>, |
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depending on individual |
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preference and experiemnce. |
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</blockquote> |
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<p><br><b>Still confused?</b> |
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<blockquote>send us <a href=mailto:support@mitgcm.org>mail</a>. |
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We like our software to be used and are happy to help out if we can. |
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<hr WIDTH="100%"> |
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<table CELLSPACING=0 CELLPADDING=0 WIDTH="100%" NOSAVE > |
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<tr NOSAVE> |
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<td NOSAVE>Last modified on $Date: 2001/10/21 18:13:36 $</td> |
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<td> |
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<div align=right>CVS: $Source: /u/gcmpack/mitgcm.org/sealion/download_software/viaCVS.html,v |
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$Revision: 1.5 $</div> |
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</td> |
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</tr> |
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</table> |
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</body> |
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</html> |
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