Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors

Journal of Computational Neuroscience

Volumn 25, Issue 1, 2008, Pages 203-210

  Hines, Michael L ^a   Eichner, Hubert ^b   Schürmann, Felix ^c  

^a Yale University   (United States)

^b MAX PLANCK INSTITUTE OF NEUROBIOLOGY   (Germany)

^c EPFL   (Switzerland)

Author keywords

Computer modeling; Computer simulation; Load balance; Neuronal networks; Parallel simulation

Indexed keywords

CELLS; CYTOLOGY; NEURAL NETWORKS; PARALLEL PROCESSING SYSTEMS;

CELL-BE; CELL/B.E; CELL/BE; COMPUTER MODELS; LOAD-BALANCE; NEURONAL NETWORKS; PARALLEL SIMULATIONS; RUNTIMES; SCALINGS; SUB TREES;

NEURONS;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL COUNT; CELL SIZE; COMPUTER PROGRAM; COMPUTER SIMULATION; DENTATE GYRUS; INTERMETHOD COMPARISON; INTERPERSONAL COMMUNICATION; MATHEMATICAL COMPUTING; NORMAL DISTRIBUTION; PRIORITY JOURNAL; SIGNAL PROCESSOR; THALAMOCORTICAL TRACT; WHOLE CELL;

EID: 45649084042     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-007-0073-3     Document Type: Article

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