Hands-On GPU Computing with Python

With Hands-On GPU Computing with Python, understand effective synchronization strategies for faster processing using GPUs. Write parallel processing scripts with PyCuda and PyOpenCL. (Limited-time offer)

Book Description

• Introducing GPU Computing
• Designing a GPU Computing Strategy
• Setting Up a GPU Computing Platform with NVIDIA and AMD
• Fundamentals of GPU Programming
• Setting Up Your Environment for GPU Programming
• Working with CUDA and PyCUDA
• Working with ROCm and PyOpenCL
• Working with Anaconda, CuPy, and Numba for GPUs
• Containerization on GPU-Enabled Platforms
• Accelerated Machine Learning on GPUs
• GPU Acceleration for Scientific Applications Using DeepChem

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