GPU Programming in MATLAB
eBook - ePub

GPU Programming in MATLAB

  1. 318 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

GPU Programming in MATLAB

About this book

GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of the Parallel Computing Toolbox and other MATLAB toolboxes for GPU computing, which allow applications to be ported straightforwardly onto GPUs without extensive knowledge of GPU programming. The next part covers built-in, GPU-enabled features of MATLAB, including options to leverage GPUs across multicore or different computer systems. Finally, advanced material includes CUDA code in MATLAB and optimizing existing GPU applications. Throughout the book, examples and source codes illustrate every concept so that readers can immediately apply them to their own development.- Provides in-depth, comprehensive coverage of GPUs with MATLAB, including the parallel computing toolbox and built-in features for other MATLAB toolboxes- Explains how to accelerate computationally heavy applications in MATLAB without the need to re-write them in another language- Presents case studies illustrating key concepts across multiple fields- Includes source code, sample datasets, and lecture slides

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Yes, you can access GPU Programming in MATLAB by Nikolaos Ploskas,Nikolaos Samaras in PDF and/or ePUB format, as well as other popular books in Computer Science & Parallel Programming. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. About the Authors
  7. Foreword
  8. Preface
  9. Chapter 1: Introduction
  10. Chapter 2: Getting started
  11. Chapter 3: Parallel Computing Toolbox
  12. Chapter 4: Introduction to GPU programming in MATLAB
  13. Chapter 5: GPU programming on MATLAB toolboxes
  14. Chapter 6: Multiple GPUs
  15. Chapter 7: Run CUDA or PTX code
  16. Chapter 8: MATLAB MEX functions containing CUDA code
  17. Chapter 9: CUDA-accelerated libraries
  18. Chapter 10: Profiling code and improving GPU performance
  19. References
  20. List of Examples
  21. Index