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Optimizing NEURON Simulation Environment Using Remote Memory Access with Recursive Doubling on Distributed Memory Systems
(Hindawi Ltd, 2016)
Increase in complexity of neuronal network models escalated the efforts to make NEURON simulation environment efficient. The computational neuroscientists divided the equations into subnets amongst multiple processors for ...
Optimizing NEURON Brain Simulator With Remote Memory Access On Distributed Memory Systems
(Institute of Electrical and Electronics Engineers Inc., 2016)
The Complex neuronal network models require support from simulation environment for efficient network simulations. To compute the models increasing complexity necessitated the efforts to parallelize the NEURON simulation ...