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Performance Comparison of Machine Learning Across Metal, Cuda, and Software-Based Neuromorphic Simulation
Machine learning’s computational demands necessitate optimal performance and utilization across diverse hardware architectures. This research compares computing as spiking neural networks (CSNNs, or simulated neuromorphic computing) and regular CNNs on Apple Silicon M3 Pro with Metal Performance Sha
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