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Efficient Hardware Acceleration of Sparsely Active Convolutional Spiking Neural Networks
The motivation of using SNNs over conventional neural networks is rooted in the special computational aspects of SNNs, especially the very high degree of sparsity of neural output activations.
HipaccVX: Wedding of OpenVX and DSL-based Code Generation
OpenVX promises to solve this issue for computer vision applications with a royalty-free industry standard that is based on a graph-execution model.
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