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  1. Hydra

    GPU-Accelerated Computing with Python 3 and CUDA: From low-level kernels to real-world applications in scientific computing and machine learning

    Accelerate your Python code on the GPU using CUDA, Numba, and modern libraries to solve real-world problems faster and more efficiently. Key Features Build a solid foundation in CUDA with Python, from kernel design to execution and debugging Optimize GPU performance with efficient memory...
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