Hands-On GPU Programming with Python and CUDA Explore High-Performance Parallel Computing with CUDA
Dr Brian Tuomanen
- Birmingham : Packt Publishing Ltd, 2018.
- 1 online resource (300 p.).
Description based upon print version of record. Chapter 7: Using the CUDA Libraries with Scikit-CUDA
Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Why GPU Programming?; Technical requirements; Parallelization and Amdahl's Law; Using Amdahl's Law; The Mandelbrot set; Profiling your code; Using the cProfile module; Summary; Questions; Chapter 2: Setting Up Your GPU Programming Environment; Technical requirements; Ensuring that we have the right hardware; Checking your hardware (Linux); Checking your hardware (windows); Installing the GPU drivers; Installing the GPU drivers (Linux); Installing the GPU drivers (Windows)
1788995228 9781788995221
COMPUTER / General CUDA (Computer architecture) Graphics processing units Python (Computer program language)