High-Performance GPU Computing with Python: Unlock Massive Speedups in Data Science and ML Using CUDA and Numba
by Derek Lloyd
Explore high-performance GPU computing with Python, CUDA, and Numba. This focused guide examines techniques for accelerating data science and machine learning workloads, helping readers understand how Python-based applications can take advantage of GPU processing for substantial speed improvements.
About This Book
High-Performance GPU Computing with Python introduces GPU computing for readers working with data science and machine learning.
The book focuses on using Python alongside CUDA and Numba to pursue substantial performance improvements in computational workloads.
It offers a practical subject-centered guide to understanding and applying high-performance techniques with widely used tools.
Readers interested in speeding up Python-based data science and machine learning tasks can use this book as a focused entry point to GPU computing.
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