IEEE transaction on neural networks and learning systems, 2014-02, Vol.25 (2), p.316-331
2014
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Details
- Autor(en) / Beteiligte
- Titel
- HRLSim: A High Performance Spiking Neural Network Simulator for GPGPU Clusters
- Ist Teil von
- IEEE transaction on neural networks and learning systems, 2014-02, Vol.25 (2), p.316-331
- Ort / Verlag
- New York, NY: IEEE
- Erscheinungsjahr
- 2014
- Quelle
- IEEE Xplore
- Beschreibungen/Notizen
- Modeling of large-scale spiking neural models is an important tool in the quest to understand brain function and subsequently create real-world applications. This paper describes a spiking neural network simulator environment called HRL Spiking Simulator (HRLSim). This simulator is suitable for implementation on a cluster of general purpose graphical processing units (GPGPUs). Novel aspects of HRLSim are described and an analysis of its performance is provided for various configurations of the cluster. With the advent of inexpensive GPGPU cards and compute power, HRLSim offers an affordable and scalable tool for design, real-time simulation, and analysis of large-scale spiking neural networks.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 2162-237XeISSN: 2162-2388DOI: 10.1109/TNNLS.2013.2276056Titel-ID: cdi_crossref_primary_10_1109_TNNLS_2013_2276056
- Format
- –
- Schlagworte
- Action Potentials - physiology, Analytical models, Animals, Applied sciences, Artificial intelligence, Biological system modeling, Computational modeling, Computer science, control theory, systems, Computer Simulation, Connectionism. Neural networks, Delays, Distributed graphical processing units (GPUs) programming, Exact sciences and technology, general purpose GPU (GPGPU), Graphics processing units, Humans, Language processing and microprogramming, large scale, Mathematical model, Models, Neurological, Nerve Net - physiology, Neural Networks (Computer), neuron simulation, Neurons, Neurons - physiology, Simulation, Software, Software engineering, spike timing-dependent plasticity (STDP), spiking neural simulation, Synapses - physiology