We are entering the golden age of GPU computing. Since the introduction of CUDA in 2007, more
than 100 million computers with CUDA-capable GPUs have been shipped to end users. Unlike the
previous GPGPU shader programming models, CUDA supports parallel programming in C. From my
own experience in teaching CUDA programming, C programmers...
Software that covertly monitors user actions, also known as spyware, has become a first-level security threat due to its ubiquity and the difficulty of detecting and removing it. This is especially so for video conferencing, thin-client computing and Internet cafes.
CryptoGraphics: Exploiting Graphics Cards for Security...
OpenGL brings an added dimension to your graphics by utilizing the remarkable power of modern GPUs. This straight-talking cookbook is perfect for intermediate C++ programmers who want to exploit the full potential of OpenGL
Overview
Explores current graphics programming techniques including GPU-based...
OpenGL is not a single API anymore. OpenGL has involved into a family of APIs, with OpenGL, OpenGL ES, and WebGL being closely related siblings that enable application developers to write and deploy graphics applications on a wide variety of platforms and operating systems. OpenGL has become an ecosystem; 3D graphics is truly everywhere now....
High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the...
Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation...
Create image processing, object detection and face recognition apps by leveraging the power of machine learning and deep learning with OpenCV 4 and Qt 5
Key Features
Gain practical insights into code for all projects covered in this book
This book is a must-have for anyone serious about rendering in real time. With the announcement of new ray tracing APIs and hardware to support them, developers can easily create real-time applications with ray tracing as a core component. As ray tracing on the GPU becomes faster, it will play a more central role in real-time...
Programmable GPUs provide the processing horsepower necessary to render realistic graphics in real time, but this has put a new burden on graphics programmers. They now need to have an in-depth understanding of lights and surface propertiex before they can use the capablities of the GPU.
