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POETS: A Parallel Cluster Architecture for Spiking Neural Network
2021
International Journal of Machine Learning and Computing
Spiking Neural Networks (SNNs) are known as a branch of neuromorphic computing and are currently used in neuroscience applications to understand and model the biological brain. SNNs could also potentially be used in many other application domains such as classification, pattern recognition, and autonomous control. This work presents a highly-scalable hardware platform called POETS, and uses it to implement SNN on a very large number of parallel and reconfigurable FPGA-based processors. The
doi:10.18178/ijmlc.2021.11.4.1048
fatcat:znyzi4g735dudj4o2lxibcwppe