May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Working with Anaconda, CuPy, and Numba for GPUs
Continuing with our hands-on experience, we now focus on our most important chapter, about using Python-only code, which essentially simplifies the GPU computing approach. We will revisit Anaconda and after a short reintroduction including Miniconda, we will begin our exploration by looking into it with a GPU computing perspective. In particular, CuPy and Numba will be covered to highlight the significance of Python-only syntax for GPU computing. We will carry out the same by seamlessly restructuring our earlier examples in a much simpler manner through CuPy and Numba.
Python programming enthusiasts will be encouraged to invoke NVIDIA GPUs within their program code with CuPy and CUDA-enabled ...
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