Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework
2010 (English)In: Neuroinformatics, ISSN 1539-2791, E-ISSN 1559-0089, Vol. 8, no 1, 43-60 p.Article in journal (Refereed) Published
MUSIC is an API allowing large scale neuron simulators using MPI internally to exchange data during runtime. We provide experiences from the adaptation of two neuronal network simulators of diﬀerent kinds, NEST and MOOSE, to this API. A multi-simulation of a cortico-striatal network model involving both simulators is performed, demonstrating how MUSIC can promote inter-operability between models written for diﬀerent simulators and how these can be re-used to build a larger model system. We conclude that MUSIC fulﬁlls the design goals of being portable and simple to adapt to existing simulators. In addition, since the MUSIC API enforces independence between the applications, the multi-simulationcould be built from pluggable component modules without adaptation of the components to each other in terms of simulation time-step or topology of connections between the modules.
Place, publisher, year, edition, pages
2010. Vol. 8, no 1, 43-60 p.
MUSIC, Large-scale simulation, Computer simulation, Computational neuroscience, Neuronal network models, Inter-operability, MPI, Parallel processing
Bioinformatics (Computational Biology)
IdentifiersURN: urn:nbn:se:kth:diva-10487DOI: 10.1007/s12021-010-9064-zISI: 000276344300006PubMedID: 20195795ScopusID: 2-s2.0-77953106373OAI: oai:DiVA.org:kth-10487DiVA: diva2:218055
FunderSwedish e‐Science Research Center
Uppdaterad till artikel 20100709 QC 201007092009-05-182009-05-182012-05-22Bibliographically approved