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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

You're reading from   Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA Effective techniques for processing complex image data in real time using GPUs

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789348293
Length 380 pages
Edition 1st Edition
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Author (1):
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Bhaumik Vaidya Bhaumik Vaidya
Author Profile Icon Bhaumik Vaidya
Bhaumik Vaidya
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Table of Contents (15) Chapters Close

Preface 1. Introducing CUDA and Getting Started with CUDA 2. Parallel Programming using CUDA C FREE CHAPTER 3. Threads, Synchronization, and Memory 4. Advanced Concepts in CUDA 5. Getting Started with OpenCV with CUDA Support 6. Basic Computer Vision Operations Using OpenCV and CUDA 7. Object Detection and Tracking Using OpenCV and CUDA 8. Introduction to the Jetson TX1 Development Board and Installing OpenCV on Jetson TX1 9. Deploying Computer Vision Applications on Jetson TX1 10. Getting Started with PyCUDA 11. Working with PyCUDA 12. Basic Computer Vision Applications Using PyCUDA 13. Assessments 14. Other Books You May Enjoy

Acceleration of sorting algorithms using CUDA

Sorting algorithms are widely used in many computing applications. There are many sorting algorithms, such as enumeration or rank sort, bubble sort, and merge sort. All algorithms have different levels of complexity, so it takes a different amount of time to sort a given array. For a large array, all algorithms take a long time to complete. If this can be accelerated using CUDA, then it can be of great help in any computing application.

To show an example of how CUDA can accelerate different sorting algorithms, we will implement a rank sort algorithm in CUDA.

Enumeration or rank sort algorithms

In this algorithm, we count every element in an array to find out how many elements...

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