Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors.
Michael L. HinesHubert EichnerFelix SchürmannPublished in: J. Comput. Neurosci. (2008)
Keyphrases
- parallel processing
- network topologies
- upper bound
- distributed memory
- single processor
- multiprocessor systems
- parallel computing
- shared memory
- parallel execution
- network structure
- parallel computation
- lower bound
- computer networks
- network traffic
- worst case
- data parallelism
- parallel algorithm
- parallel programming
- spiking neural networks
- load balance
- spiking neurons
- neural network
- level parallelism
- processing elements
- parallel architectures
- massively parallel
- communication networks
- wireless sensor networks
- artificial neural networks