What are some advanced features of CuPy?
CuPy offers several advanced features like multi-GPU support, custom kernels, and interoperability with NumPy.
Can you explain how to use custom kernels in CuPy?
Sure! You can define custom kernels using CuPy's RawKernel
or ElementwiseKernel
to optimize specific computations.
What is the benefit of using multi-GPU support?
Multi-GPU support allows you to distribute computations across multiple GPUs, significantly speeding up processing times.
How does CuPy handle interoperability with NumPy?
CuPy is designed to be compatible with NumPy, allowing you to easily switch between CuPy arrays and NumPy arrays.
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