Abstract
SpiNNaker is a biologically-inspired massively-parallel computer architecture optimized specifically for modeling large-scale systems of spiking neurons in biological real time. The biological inspiration is manifest in the lightweight inter-processor communications architecture, which enables a “spike” generated by a neuron modeled on one processor to be transmitted to all of the processors modeling neurons that the source neuron connects to in zero biological time (which we take to be a time much less than a millisecond). The design of such a machine is based upon achieving a balance between the processing power required to execute the neuron and synapse models, the memory hierarchy required to maintain neuron and synapse state sufficiently close to the respective processor, and a communications infrastructure that can meet the latency and bandwidth constraints of the target application.
Original language | English |
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Title of host publication | Neural Nets WIRN11 - Proceedings of the 21st Italian Workshop on Neural Nets |
Publisher | IOS Press |
Pages | 324-331 |
Number of pages | 8 |
Volume | 234.2011 |
ISBN (Print) | 978-1-60750-971-4 |
DOIs | |
Publication status | Published - 2011 |
Event | Frontiers in Artificial Intelligence and Applications - Duration: 1 Jan 1824 → … |
Conference
Conference | Frontiers in Artificial Intelligence and Applications |
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Period | 1/01/24 → … |