MUSIC software enabling runtime data exchange between parallel neuronal simulators
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1
INCF and KTH, PDC, Sweden
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2
KTH, CB/CSC, Sweden
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3
Research Center Jülich , Institute of Neurosciences and Medicine, Germany
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4
RIKEN, Brain Science Institute, Japan
MUSIC is an API allowing large scale neuron simulators to exchange data within a parallel computer during runtime. It promotes inter-operability between models written for different simulators and allow these to be re-used to build a larger model system, a multi-simulation. MUSIC provides mechanisms to transfer massive amounts of event information and continuous values from one parallel application to another. Since the API enforces independence of the applications, the multi-simulation can be built from pluggable component modules without adaptation of the components to each other in terms of simulation time-step, data allocation strategies or topology of connections between the modules. Special care has been taken to ensure that existing simulators can be easily adapted to MUSIC. A prototype implementation of the API in the form of a C++ library was released under the GPL license early 2009. It is part of major Linux distributions and can be downloaded from the INCF Software Center.
References
1. Djurfeldt M, Hjorth J, Eppler JM, Dudani N, Helias M, Potjans T, Bhalla US, Diesmann M, Hellgren Kotaleski J and Ekeberg Ö (2010) Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework. Neuroinformatics 8:43-60
Conference:
Neuroinformatics 2010 , Kobe, Japan, 30 Aug - 1 Sep, 2010.
Presentation Type:
Poster Presentation
Topic:
Large scale modeling
Citation:
Djurfeldt
M,
Ekeberg
Ö,
Potjans
T and
Diesmann
M
(2010). MUSIC software enabling runtime data exchange between parallel neuronal simulators.
Front. Neurosci.
Conference Abstract:
Neuroinformatics 2010 .
doi: 10.3389/conf.fnins.2010.13.00107
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Received:
15 Jun 2010;
Published Online:
15 Jun 2010.
*
Correspondence:
Mikael Djurfeldt, INCF and KTH, PDC, Stockholm, Sweden, mikael@djurfeldt.com