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This book presents techniques to render photo-realistic images by programming the Graphics Processing Unit (GPU). We discuss effects such;
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of global illumination effects suited for direct rendering applications in real time. GPU Pro 360 Guide to Lighting is comprised of ready-to-use;
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Irradiance caching is a ray tracing-based technique for computing global illumination on diffuse surfaces. Specifically, it addresses the;
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real-world model acquisition and display, on using image-based techniques for illumination and on efficient ways to parameterize and compress;
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GPU Computing Gems, Jade Edition, offers hands-on, proven techniques for general purpose GPU programming based on the successful;
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try to facilitate the analysis. In particular, active illumination techniques project specific light, for which the characteristics are known;
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try to facilitate the analysis. In particular, active illumination techniques project specific light, for which the characteristics are known;
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GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention;
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Wolfgang Engel's GPU Pro 360 Guide to GPGPU gathers all the cutting-edge information from his previous seven GPU Pro volumes into a;
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Wolfgang Engel's GPU Pro 360 Guide to GPGPU gathers all the cutting-edge information from his previous seven GPU Pro volumes into a;
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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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(GPU) programming techniques. The programmability of modern GPUs allows developers to not only distinguish themselves from one another but also;
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developers who are interested in visualization techniques for large, dynamic particle-based data. Its explanations focus on GPU-accelerated;
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background in place, you will now apply your new-found knowledge to develop your very own GPU-based deep neural network from scratch. You'll then;
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used for the reconstruction of images from acquired raw data.The objective is to develop an algorithm to run under CPU and also in GPU for the;
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Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across;
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This book provides a fundamental understanding of global illumination algorithms. It discusses a broad class of algorithms for realistic;
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This book provides a fundamental understanding of global illumination algorithms. It discusses a broad class of algorithms for realistic;
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programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the;
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. Initially shader based frameworks like GLSL, Cg etc have been used for GP-GPU. NVIDIA has developed CUDA to write scalable parallel programs in C;
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section of the book introduces the most useful techniques for global and local illumination using geometric descriptions of an environment. The;
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section of the book introduces the most useful techniques for global and local illumination using geometric descriptions of an environment. The;
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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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API for GPU programming, with the accessibility and versatility of the Python programming language. Topics you will explore include generating;
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