Can I read Hands-On GPU Programming with Python and CUDA : Explore High-performance Parallel Computing with CUDA on EtoBox?

Hands-On GPU Programming with Python and CUDA : Explore High-performance Parallel Computing with CUDA by Dr. Brian Tuomanen; is a nonfiction available to read on EtoBox.

What is Hands-On GPU Programming with Python and CUDA : Explore High-performance Parallel Computing with CUDA about?

Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book. Key Features Expand your background in GPU programming - PyCUDA, scikit-cuda, and Nsight Effectively use CUDA libraries such as cuBLAS, cuFFT, and cuSolver Apply GPU programming to modern data science applications Book Description Hands-On GPU Programming with Python and CUDA hits the ground running: you'll start by learning how to apply Amdahl's Law, use a code profiler to identify bottlenecks in your Python code, and set up an appropriate GPU programming environment. You'll then see how to ?query? the GPU's features and copy arrays of data to and from the GPU's own memory. As you make your way through the book, you'll launch code directly onto the GPU and write full blown GPU kernels and device functions in CUDA C. You'll get to grips with profiling GPU code effectively and fully test and debug your code using Nsight IDE. Next, you'll explore some of the more well-known NVIDIA libraries, such as cuFFT and cuBLAS. With a solid background in place, you will now apply your new-found kno

Who reads Hands-On GPU Programming with Python and CUDA : Explore High-performance Parallel Computing with CUDA?

Author

Dr. Brian Tuomanen;

Publisher

Packt Publishing, Limited

Published

2018

Language

EN

ISBN

9781788995221

Category

nonfiction

Subjects

Language Learning, Computer Science, Programming