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  Neural simulations on multi-core architectures

Eichner, H., Klug, T., & Borst, A. (2009). Neural simulations on multi-core architectures. Frontiers in Neuroinformatics, 3: 21, pp. [1]-[15]. doi:10.3389/neuro.11.021.2009.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0012-2065-7 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0012-2066-5
Genre: Journal Article

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Eichner, H.1, Author              
Klug, T.2, Author
Borst, A.1, Author              
Affiliations:
1Department: Systems and Computational Neurobiology / Borst, MPI of Neurobiology, Max Planck Society, ou_1113548              
2Faculty for Informatics, Technical University of Munich, Garching, Germany, ou_persistent22              

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 Abstract: Neuroscience is witnessing increasing knowledge about the anatomy and electrophysiological properties of neurons and their connectivity, leading to an ever increasing computational complexity of neural simulations. At the same time, a rather radical change in personal computer technology emerges with the establishment of multi-cores: high-density, explicitly parallel processor architectures for both high performance as well as standard desktop computers. This work introduces strategies for the parallelization of biophysically realistic neural simulations based on the compartmental modeling technique and results of such an implementation, with a strong focus on multi-core architectures and automation, i.e. user-transparent load balancing.

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Language(s): eng - English
 Dates: 2009-07-09
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 443836
DOI: 10.3389/neuro.11.021.2009
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Title: Frontiers in Neuroinformatics
Source Genre: Journal
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Pages: - Volume / Issue: 3 Sequence Number: 21 Start / End Page: [1] - [15] Identifier: -