Abstract: Optimization of deep learning models for embedded CPUs presents numerous challenges stemming from limited computational resources, memory constraints, thread synchronization overhead, and ...
Abstract: Python has become increasingly significant in domains such as data science, machine learning, scientific computing, and parallel programming. The libraries CuPy and Numba enable the ...
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