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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
GPUs are proving to be excellent general purpose-parallel computing solutions for high-performance tasks such as deep learning and sci...