Difference between revisions of "MUSIC"

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{{software info
 
{{software info
|description=a C++ library for interprocess communication in large scale neuronal network simulation
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|description=C++ library for interprocess communication in large scale neuronal network simulations
|research areas=Bioinformatics
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|license=free
|quiet=true
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|fields=Bioinformatics
 
}}
 
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{{PAGENAME}} is {{#show: {{PAGENAME}} |?description}}. It allows spike events and continuous time series to be communicated between applications in a computer cluster. The typical usage cases are connecting models developed for different simulators and connecting a parallel simulator to a post-processing tool.
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{{PAGENAME}} is a {{#show: {{PAGENAME}} |?description}}. It allows spike events and continuous time series to be communicated between applications in a computer cluster. The typical usage cases are connecting models developed for different simulators and connecting a parallel simulator to a post-processing tool.
 
 
== Experts ==
 
{{list experts}}
 
  
 
== General info ==
 
== General info ==
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== Availability ==
 
== Availability ==
 
{{list resources for software}}
 
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== License ==
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== Experts ==
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{{list experts}}
  
 
== Links ==
 
== Links ==
 
* [http://software.incf.org/software/music Project page]
 
* [http://software.incf.org/software/music Project page]

Latest revision as of 12:31, 12 September 2011

MUSIC is a C++ library for interprocess communication in large scale neuronal network simulations. It allows spike events and continuous time series to be communicated between applications in a computer cluster. The typical usage cases are connecting models developed for different simulators and connecting a parallel simulator to a post-processing tool.

General info

  • Ease of Use: Intermediate
  • Maturity:Intermediate

Prerequisites

  • MPI
  • Operating system: Unix-like

Availability

No installations reported.

License

License: Free.

Experts

These experts have registered specific competence on this subject:

  FieldAE FTEGeneral activities
Mikael Djurfeldt (PDC)PDCNeuroinformatics100

Links