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Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book. Key Features Expand your background in GPU programming - PyCUDA, scikit-cuda, and Nsight Effectively use CUDA libraries such as cuBLAS, cuFFT, and cuSolver Apply GPU programming to modern data science applications Book Description Hands-On GPU Programming with Python and CUDA hits the ground running: you'll start by learning how to apply Amdahl's Law, use a code profiler to identify bottlenecks in your Python code, and set up an appropriate GPU programming environment. You'll then see how to ?query? the GPU's features and copy arrays of data to and from the GPU's own memory. As you make your way through the book, you'll launch code directly onto the GPU and write full blown GPU kernels and device functions in CUDA C. You'll get to grips with profiling GPU code effectively and fully test and debug your code using Nsight IDE. Next, you'll explore some of the more well-known NVIDIA libraries, such as cuFFT and cuBLAS. With a solid 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 explore advanced topics, such as warp shuffling, dynamic parallelism, and PTX assembly. In the final chapter, you'll see some topics and applications related to GPU programming that you may wish to pursue, including AI, graphics, and blockchain. By the end of this book, you will be able to apply GPU programming to problems related to data science and high-performance computing. What you will learn Launch GPU code directly from Python Write effective and efficient GPU kernels and device functions Use libraries such as cuFFT, cuBLAS, and cuSolver Debug and profile your code with Nsight and Visual Profiler Apply GPU programming to datascience problems Build a GPU-based deep neuralnetwork from scratch Explore advanced GPU hardware features, such as warp shuffling Who this book is for Hands-On GPU Programming with Python and CUDA is for developers and data scientists who want to learn the basics of effective GPU programming to improve performance using Python code. You should have an understanding of first-year college or university-level engineering mathematics and physics, and have some experience with Python as well as in any C-based programming language such as C, C++, Go, or Java.

Rendering (Computer graphics) --- Graphics processing units --- Programming.

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This book offers a comprehensive and detailed guide to accomplishing and perfecting a photorealistic look in digital content across visual effects, architectural and product visualization, and games.

Rendering (Computer graphics) --- Photo-realism. --- Digital images --- Editing.

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Discover essential real-time rendering techniques that can be extended or applied directly to existing or new rendering engines focusing only on Vulkan Key Features Explore a wide range of advanced 3D graphics programming techniques to leverage the full potential of Vulkan API Learn tips, tricks, and solutions to boost your 3D graphics for a wide range of cross-platform devices Implement geometry projection, texturing, and lighting techniques Purchase of the print or Kindle book includes a free PDF eBook Book Description Vulkan is a graphics API that gives the program total control of the GPU, allowing the GPU to be used to its full potential. This cookbook will uncover useful techniques for emerging new technologies, such as hybrid rendering, extended reality - mixed reality (MR), augmented reality (AR), virtual reality (VR) - and GPU-driven rendering, and even features a dedicated chapter to help you debug and profile your graphics applications with tips and tricks tested in real-world scenarios. The book starts by explaining basic Vulkan concepts while guiding you through the implementation of a basic graphics engine. The building blocks presented in the first few chapters will then help you implement more advanced techniques and algorithms, while getting you acquainted with the inner workings of Vulkan. Gradually, you'll discover how Vulkan can be used to build hybrid renderers as well as leveraged for the future of graphics with AR/VR/MR. Moreover, you'll gain an understanding of how it can be debugged or measured for performance. By the end of this book, you'll be well versed in how to use Vulkan to write graphics applications and how graphics algorithms are implemented using Vulkan. What you will learn Set up your environment for Vulkan development Understand how to draw graphics primitives using Vulkan Use state-of-the-art Vulkan to implement a wide variety of modern rendering techniques such as DLSS, TAA, OIT, and foveated rendering Implement hybrid techniques using rasterization and ray tracing to create photorealistic real-time engines Create extended reality (AR/VR/MR) applications using OpenXR and Vulkan Explore debugging techniques for graphics applications that use Vulkan Who this book is for This book is for computer graphics engineers who have experience in at least one graphics API, such as OpenGL (any variations), DirectX, or Metal, and wish to delve into Vulkan using hands-on, practical examples. Graphics engineers looking to use Vulkan's capabilities to develop real-time hybrid renderers and create XR applications will also find this book helpful. Familiarity with graphics APIs (such as OpenGL, OpenGL ES, Metal, or DirectX), proficiency in C++ programming, and a basic understanding of computer graphics algorithms are assumed.

Computer graphics. --- Rendering (Computer graphics) --- Computer programming. --- Vulkan (Computer file)

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OpenGL 4 Shading Language Cookbook, Third Edition provides easy-to-follow recipes that first walk you through the theory and background behind each technique, and then proceed to showcase and explain the GLSL and OpenGL code needed to implement them.

Computer graphics. --- Rendering (Computer graphics) --- OpenGL. --- Computer games --- Video games --- Development --- Programming

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Computer graphics. --- Rendering (Computer graphics) --- Graphics processing units --- Pocket computers --- Mobile computing. --- Programming.