Hands-On GPU Computing with Python
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Explore a GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda Accelerate
- Understand effective synchronization strategies for faster processing using GPUs
- Write parallel processing scripts with PyCuda and PyOpenCL
- Learn to use CUDA libraries such as CuDNN for deep learning on GPUs


