Hands-On GPU Programming with Python and CUDA
Available
Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book.
Key Features
- Expand your background in GPU programming—PyCUDA, scikit-cuda, and Nsight
- Effectively use CUDA libraries such as cuBLAS, cuFFT, and cuSolver
- Apply GPU programming to modern data science appli...
Read more
product_type_E-book
epub
Price
28.99 £
Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book.
Key Features
- Expand your background in GPU programming—PyCUDA, scikit-cuda, and Nsight
- Effectively use CUDA libraries such as cuBLAS, cuFFT, and cuSolver
- Apply GPU programming to modern data science appli...
Read more
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