Distributed Configuration of Massively-Parallel Simulation on SpiNNaker Neuromorphic Hardware

Provided by: The University of Maine at Machias
Topic: Hardware
Format: PDF
SpiNNaker is a massively-parallel neuromorphic computing architecture designed to model very large, biologically plausible spiking neural networks in real-time. A SpiNNaker machine consists of up to 216 homogeneous eighteen-core multiprocessor chips, each with an on-board router which forms links with neighboring chips for packet-switched inter-processor communications. The architecture is designed for dynamic reconfiguration and optimized for transmission of neural activity data, which presents a challenge for machine configuration, program loading and simulation monitoring given a lack of globally-shared memory resources, intrinsic addressing mode or sideband configuration channel.

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