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GPU Computing Gems Emerald Edition (Applications of GPU Computing Series)
GPU Computing Gems Emerald Edition (Applications of GPU Computing Series)

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...

CryptoGraphics: Exploiting Graphics Cards For Security (Advances in Information Security)
CryptoGraphics: Exploiting Graphics Cards For Security (Advances in Information Security)

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 Development Cookbook
OpenGL Development Cookbook

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 Insights
OpenGL Insights

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
High Performance Deformable Image Registration Algorithms for Manycore Processors

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...

Accelerating MATLAB with GPU Computing: A Primer with Examples
Accelerating MATLAB with GPU Computing: A Primer with Examples

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...

Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition
Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

Key Features

  • Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow
  • Explore deep neural...
Qt 5 and OpenCV 4 Computer Vision Projects: Get up to speed with cross-platform computer vision app development by building seven practical projects
Qt 5 and OpenCV 4 Computer Vision Projects: Get up to speed with cross-platform computer vision app development by building seven practical projects

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
  • Understand modern computer vision...
C++ High Performance: Boost and optimize the performance of your C++17 code
C++ High Performance: Boost and optimize the performance of your C++17 code

Write code that scales across CPU registers, multi-core, and machine clusters

Key Features

  • Explore concurrent programming in C++
  • Identify memory management problems
  • Use SIMD and STL containers for performance improvement

Book...

Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Build, scale, and deploy deep neural network models using the star libraries in Python

Key Features

  • Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras
  • Build, deploy, and scale end-to-end deep neural network models in a production...
Ray Tracing Gems: High-Quality and Real-Time Rendering with DXR and Other APIs
Ray Tracing Gems: High-Quality and Real-Time Rendering with DXR and Other APIs
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...
Advanced Lighting and Materials with Shaders
Advanced Lighting and Materials with Shaders
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.

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