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Tessellation of Trimmed NURBS Surfaces using Multipass Shader Algorithms on the GPU

describes the implementation and further analysis on a fast and efficient GPU based rendering algorithm for trimmed NURBS surfaces presented by;

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Image Processing Using CUDA

programming skills. Most of GPU based frameworks are developed using procedural programming, which limits the scope of flexibility, code reusability;

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OpenGL Programming Guide

overhauls the OpenGL programming model and how applications access objects Deeper discussions and more examples of shader functionality and GPU;

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An Introduction to NURBS

understanding of these very important curves and surfaces. Beginning with Bezier curves, the book develops a lucid explanation of NURBS curves, then;

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Metal Programming Guide

techniques Leverage tessellation to reduce mesh detail Use the GPU for a wide spectrum of general-purpose computing applications Get started;

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A Blossoming Development of Splines

. Bezier/B-splines represent polynomials and piecewise polynomials in a geometric manner using sets of control points that define the shape of the;

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GPGPU Programming for Games and Science

. The core of the book focuses on the GPU from the perspective of Direct3D 11 (D3D11) and the High Level Shading Language (HLSL). This chapter;

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GPGPU Programming for Games and Science

focuses on the GPU from the perspective of Direct3D 11 (D3D11) and the High Level Shading Language (HLSL). This chapter covers drawing 3D objects;

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OpenGL 4 Shading Language Cookbook

such as compute, geometry, and tessellation shaders Use GLSL to create a wide variety of modern, realistic visual effects Book;

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GPU-based Parallel Implementation of Swarm Intelligence Algorithms

GPGPU in adequate detail, but also includes guidance on the appropriate implementation of swarm intelligence algorithms on the GPU platform;

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OpenGL Programming Guide

taking full advantage of shaders and the entire shading pipeline (including geometry and tessellation shaders) Integration of general computation;

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Computer Graphics

for spatial data structures using large data sets. Although the book is mainly based on OpenGL 3.3, it also covers tessellation in OpenGL 4.0;

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Advances in GPU Research and Practice

Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range;

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Characterization of microstructure and mechanical properties of AL6063 using FSP Multipass

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High Performance Deformable Image Registration Algorithms for Manycore Processors

show how to develop data-parallel versions of the registration algorithm suitable for execution on the GPU. Image registration is the process;

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

power of GPU Key Features Explore examples to leverage the GPU processing power with OpenCV and CUDA Enhance the performance of algorithms on;

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GPU-Based Techniques for Global Illumination Effects

This book presents techniques to render photo-realistic images by programming the Graphics Processing Unit (GPU). We discuss effects such;

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The Essentials of CAGD

will help readers understand and use the elements of computer-aided geometric design, curves and surfaces, without the mathematical baggage;

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The Essentials of CAGD

will help readers understand and use the elements of computer-aided geometric design, curves and surfaces, without the mathematical baggage;

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Hands-On GPU Computing with Python

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda;

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GPU Pro 2

This book focuses on advanced rendering techniques that run on the DirectX and/or OpenGL run-time with any shader language available. It;

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Interactive GPU-based Visualization of Large Dynamic Particle Data

dynamic data or abstract representations that are based on the raw particle data. This book covers direct particle visualization using simple;

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GPU-assisted Diagnosis and Visualization of Medical Volume Data

The utilization of modern graphics hardware (GPU) for visualization and computation purposes, has become highly relevant in recent years;

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Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs

techniques capable of exploring the identified points of parallelism that simply focus on accelerating the heavy duty fitness function to a full GPU;

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Quantum Codes for Topological Quantum Computation

, as a means to developing models for topological order by using qubits distributed on the surface of a toroid. A significant advantage;

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Unity 2021 Shaders and Effects Cookbook

Overcome the challenges and complexities involved in creating your own shaders with high-level realism using practical solutions, best;

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Geometric Modeling of Fractal Forms for CAD

Designing and controlling complex shapes like porous volumes and rough surfaces is a challenge. Fractal geometry is an interesting approach;

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