Difference between revisions of "Download and setup LIBISIS"

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== Download LIBISIS ==
 
== Download LIBISIS ==
* Download the latest libisis build (This download will work with Matlab 2007a or later)
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* Download the latest libisis build for your version of matlab,(currently the only download will work with Matlab 2007a or later)
  
 
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Revision as of 14:23, 27 June 2008

Download Homer 'blackbox'

  • If you do not have matlab it is possible to download an executable which will run the homer GUI standalone
Windows Linux MacOS
homer_blackbox.zip not available not available

you must also install the matlab mcr runtime libraries for it to work


Download LIBISIS

  • Download the latest libisis build for your version of matlab,(currently the only download will work with Matlab 2007a or later)
Windows Linux MacOS

matlab7sp3_libisis.zip

2006a_libisis.zip

2006b_libisis.zip

2007a_libisis.zip

2007b_libisis.zip

not available at the moment, requires extra rpms not available at the moment


Windows

  • Unpack this file into C:\mprogs or a directory of your choice eg X:\analysis

Requirements

  • Matlab 2007a (or later)
  • 1GB RAM memory
  • 40MB free hard drive space

Setup Paths

  • Copy the libisis_start.m file into C:\mprogs or into the directory where your matlab starts
  • there are two ways you can make sure the paths are set in the matlab instance
  1. call the libisis_start function from the command line, with the name of the libisis directory which was unpacked see the example below
  2. or you can add the line below into your startup.m, the path to the libisis_start function must of course be in the matlab path, so you may have to add C:\mprogs or X:\analysis to the path in the startup.m already
>> libisis_start('C:\mprogs\libisis_2008_01_18_1356')
>>
>> libisis_start('X:\analysis\libisis_2008_01_18_1356')

Setup Memory Usage

Sometimes when we are treating large datasets, such as on MAPS, we cannot load all the data into the memory of the computer at once, we need to 'chunk' the data into smaller pieces. We therefore need to set the default number of workspaces in each 'chunk' to treat at any one time during the population of an IXTrunfile and the total amount of memory to allow the computer to use.

If the memory required for the number of workspaces in each chunk is greater than that defined then the number of workspaces is reduced until it fits in the memory or a failure status is raised. These two values are defined in ./matlab/homer/default_homer_nchunk.m which needs to be edited to suit the memory needs of your computer. Tests have shown that LIBISIS will populate data fastest when it is chunked in groups of 100 workspaces, so this is the default value in the file.

function nchunk=default_homer_nchunk
% nchunk = default_homer_nchunk
% nchunk is a two membered array
% the first element is the default number of workspaces to be treated at 
% one time, and the second element is the maximum amount of memory (in MB)
% that you want the computer to use
nchunk=int32([100,500]);