What are some advanced features of CuPy in Python?
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
class, allowing you to write CUDA C code.
What about performance optimization techniques in CuPy?
You can optimize performance by using memory pools, minimizing data transfers, and leveraging asynchronous execution.
How does CuPy handle multi-GPU setups?
CuPy can automatically distribute arrays and computations across multiple GPUs, simplifying parallel processing.
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