Hands-On GPU Programming with Python and CUDA Explore High-Performance Parallel Computing with CUDA
By: Tuomanen, Brian
Material type:
BookPublisher: Birmingham : Packt Publishing Ltd, 2018.Description: 1 online resource (300 p.).ISBN: 1788995228; 9781788995221Subject(s): COMPUTER / General | CUDA (Computer architecture) | Graphics processing units | Python (Computer program language)DDC classification: 005.275 TU HA Online resources: Location Map
| Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
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| REGULAR | University of Wollongong in Dubai Main Collection | 005.275 TU HA (Browse shelf) | Available | June2020 | T0064694 |
Total holds: 0
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| 005.275 PA IN An introduction to parallel programming / | 005.275 SO GP GPU parallel programming development using CUDA | 005.275 SO IN Introduction to concurrency in programming languages / | 005.275 TU HA Hands-On GPU Programming with Python and CUDA | 005.2752 KA HE Heterogeneous computing with openCL 2.0 / | 005.2752 KA HE Heterogeneous computing with openCL 2.0 / | 005.2752 SC OP OpenCL in action : |
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)