GPU-Accelerated Computing with Python 3 and CUDA
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GPU-Accelerated Computing with Python 3 and CUDA
From low-level kernels to real-world applications in scientific computing and machine learning
Cautaerts, Niels; Ghorbanfekr, Hossein
Packt Publishing Limited
03/2026
Mole
Inglês
9781803245423
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Table of Contents
Why GPU programming with CUDA in Python 3?
Setting up a GPU programming environment locally and in the cloud
Writing and executing a CUDA kernel with numba
Profiling and debugging CUDA code
Optimize memory access patterns and other tricks
Using CUDA Streams for Asynchronous Data Transfers
Scaling to multiple GPUs
Bringing NumPy and SciPy to the GPU with CuPy
Bringing Pandas and Scikit-learn to the GPU with Rapids
Solving Optimization Problems on the GPU with JAX
Solving the heat equation on the GPU
Image processing on the GPU
Simulating Atomic Interactions on the GPU
Implementing your own transformer based language model from scratch
Expanding and Deepening your GPU Programming Knowledge
Why GPU programming with CUDA in Python 3?
Setting up a GPU programming environment locally and in the cloud
Writing and executing a CUDA kernel with numba
Profiling and debugging CUDA code
Optimize memory access patterns and other tricks
Using CUDA Streams for Asynchronous Data Transfers
Scaling to multiple GPUs
Bringing NumPy and SciPy to the GPU with CuPy
Bringing Pandas and Scikit-learn to the GPU with Rapids
Solving Optimization Problems on the GPU with JAX
Solving the heat equation on the GPU
Image processing on the GPU
Simulating Atomic Interactions on the GPU
Implementing your own transformer based language model from scratch
Expanding and Deepening your GPU Programming Knowledge
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Table of Contents
Why GPU programming with CUDA in Python 3?
Setting up a GPU programming environment locally and in the cloud
Writing and executing a CUDA kernel with numba
Profiling and debugging CUDA code
Optimize memory access patterns and other tricks
Using CUDA Streams for Asynchronous Data Transfers
Scaling to multiple GPUs
Bringing NumPy and SciPy to the GPU with CuPy
Bringing Pandas and Scikit-learn to the GPU with Rapids
Solving Optimization Problems on the GPU with JAX
Solving the heat equation on the GPU
Image processing on the GPU
Simulating Atomic Interactions on the GPU
Implementing your own transformer based language model from scratch
Expanding and Deepening your GPU Programming Knowledge
Why GPU programming with CUDA in Python 3?
Setting up a GPU programming environment locally and in the cloud
Writing and executing a CUDA kernel with numba
Profiling and debugging CUDA code
Optimize memory access patterns and other tricks
Using CUDA Streams for Asynchronous Data Transfers
Scaling to multiple GPUs
Bringing NumPy and SciPy to the GPU with CuPy
Bringing Pandas and Scikit-learn to the GPU with Rapids
Solving Optimization Problems on the GPU with JAX
Solving the heat equation on the GPU
Image processing on the GPU
Simulating Atomic Interactions on the GPU
Implementing your own transformer based language model from scratch
Expanding and Deepening your GPU Programming Knowledge
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
