November 2018
Intermediate to advanced
310 pages
7h 54m
English
Content preview from Hands-On GPU Programming with Python and CUDA
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Using PyCUDA's gpuarray class
Much like how NumPy's array class is the cornerstone of numerical programming within the NumPy environment, PyCUDA's gpuarray class plays an analogously prominent role within GPU programming in Python. This has all of the features you know and love from NumPy—multidimensional vector/matrix/tensor shape structuring, array-slicing, array unraveling, and overloaded operators for point-wise computations (for example, +, -, *, /, and **).
gpuarray is really an indispensable tool for any budding GPU programmer. We will spend this section going over this particular data structure and gaining a strong grasp of it before we move on.
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