Practical Gpu Graphics With Wgpu Py And Python
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Practical Gpu Graphics With Wgpu Py And Python
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Author : Jack Xu
language : en
Publisher: UniCAD
Release Date : 2022-06-15
Practical Gpu Graphics With Wgpu Py And Python written by Jack Xu and has been published by UniCAD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-15 with Computers categories.
Wgpu-py is the next-generation Python graphics API and future standard for both native devices and the web, aiming to provide modern 3D graphics and computation capabilities with the GPU acceleration. This book provides all the tools you need to help you create advanced 3D graphics and GPU computing on native devices with this new wgpu-py API. The book starts by taking you through the wgpu-py development environment for building the wgpu-py apps and then shows you the Python and wgpu-py basics, shader programs, GPU buffers, and rendering pipelines. Next, you will learn how to create primitives and simple objects in wgpu-py. As you progress through the chapters, you will get to grips with advanced wgpu-py topics, including 3D transformation, lighting calculation, colormaps, and textures. At the same time, you will learn how to create advanced 3D wgpu-py objects, including various 3D wireframes, 3D shapes, simple and parametric 3D surfaces with colormaps and textures, as well as beautiful fractal images described by complex functions. You will also explore new wgpu features, such as compute shader and storage buffer, and how to use them to simulate large particle systems. In addition, this book will introduce the pygfx render engine that is based on wgpu-py, and show you how to use its built-in primitives to create various 3D objects. You will also learn how to build custom objects and geometries in pygfx. By the end of this book, you will have the skill you need to build your own GPU-accelerated graphics and computing on both native devices and the web with the wgpu-py API.
Practical Gpu Graphics With Wgpu And Rust
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Author : Jack Xu
language : en
Publisher: UniCAD
Release Date : 2022-01-19
Practical Gpu Graphics With Wgpu And Rust written by Jack Xu and has been published by UniCAD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-19 with Computers categories.
wgpu is the next-generation graphics API and future standard in Rust for both native devices and the web, aiming to provide modern 3D graphics and computation capabilities using GPU acceleration. This book provides all the tools you need to create advanced 3D graphics and GPU computing in Rust using this new wgpu API. First, this book will take you through the development environment for building wgpu applications in Rust, and then introduce Rust and wgpu basics, shader programs, GPU buffers, and rendering pipelines. Next, you will learn how to create primitives and simple objects in wgpu. As you progress through the chapters, you will get to grips with advanced wgpu topics, including 3D transformations, lighting calculations, colormaps, and textures. At the same time, you will learn how to create advanced 3D wgpu objects, including various 3D wireframes, 3D shapes, and simple and parametric 3D surfaces with colormaps and textures, as well as beautiful 2D and 3D fractal images described by complex functions. In addition, you will explore new wgpu features such as the compute shader and storage buffers, and use them to simulate large particle systems. By the end of this book, you will have the solid skills you need to build your own GPU-accelerated graphics and computing applications on both native devices and the web in Rust with the wgpu API. This book includes: - Development environment and tools for building wgpu apps in Rust. - Rust and wgpu basics, WGSL shaders, and rendering pipeline. - Primitives and simple shapes in wgpu. - 3D transformations, model, viewing, projection, and various coordinate systems. - GPU buffers, uniform buffer objects, animation, and camera controls. - Normal vectors, lighting model, ambient, diffuse, and specular light calculations. - UV coordinates, texture mapping. - Color model, colormaps, and color interpolation. - 3D shapes, wireframes, surfaces, and 3D charts. - 2D and 3D fractal images created in the fragment shader. - Compute shaders, storage buffers, and large particle system simulation.
Practical Webgpu Graphics
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Author : Jack Xu
language : en
Publisher: UniCAD
Release Date : 2021-06-11
Practical Webgpu Graphics written by Jack Xu and has been published by UniCAD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-11 with Computers categories.
WebGPU is the next-generation graphics API and future web standard for graphics and compute, aiming to provide modern 3D graphics and computation capabilities with the GPU acceleration. This book provides all the tools you need to help you create advanced 3D graphics and GPU computing on the web with this new WebGPU API. The book starts by taking you through the WebPack-TypeScript template for building the WebGPU apps and then shows you the WebGPU basics, shader program, GPU buffer, and rendering pipeline. Next, you will learn how to create primitives and simple objects in WebGPU. As you progress through the chapters, you will get to grips with advanced WebGPU topics, including 3D transformation, lighting calculation, colormaps, and textures. At the same time, you will learn how to create advanced 3D WebGPU objects, including various 3D wireframes, 3D shapes, simple and parametric 3D surfaces with colormaps and textures, as well as 3D surface plots and fractal graphics described by complex functions. In addition, you will explore new WebGPU features, such as compute shader and storage buffer, and how to use them to simulate large particle systems. By the end of this book, you will have the skill you need to build your own GPU-accelerated graphics and computing on the web with the WebGPU API. The book includes: - Template based on WebPack and TypeScript for developing WebGPU apps. - WebGPU basics, GLSL and WGSL shaders, and rendering pipeline. - Create primitives and simple shapes in WebGPU. - 3D transformations, model, viewing, projection, and various coordinate systems. - GPU buffers, uniform buffer objects, animation, and camera controls. - Normal vectors, lighting model, ambient, diffuse, and specular light calculations. - UV coordinates, texture mapping.- Color model, colormaps, and color interpolation. - Create 3D shapes, wireframes, surfaces, and 3D charts. - Create 3D plots and fractal graphics using complex functions. - Compute shaders, storage buffers, and large particle system simulation.
Rust Wgpu And Compute Shaders For Real Time Graphics
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Author : Jack Xu
language : en
Publisher: UniCAD
Release Date :
Rust Wgpu And Compute Shaders For Real Time Graphics written by Jack Xu and has been published by UniCAD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Rust wgpu and Compute Shaders for Real-Time Graphics – A Practical Guide to GPU Acceleration in Rust Unleash the limitless potential of next-generation Rust graphics development with wgpu and compute shaders. wgpu, a cutting-edge graphics API, is transforming the Rust-app landscape. It offers an array of features that surpass OpenGL, including compute shaders and storage buffers. These innovations unlock new horizons for crafting ultra-responsive, high-performance Rust-app experiences, ideal for real-time data visualization, scientific simulations, machine learning, video games, and more. This eBook is your definitive guide to mastering wgpu and compute shaders. It starts by covering the basics of wgpu, including shaders, buffers, and pipelines. Then, it dives into the more advanced topics of compute shaders and storage buffers. Finally, it provides real-world examples of how to use wgpu and compute shaders to create stunning real-time graphics. What you'll learn: · The basics of wgpu and Compute Shaders. · How to use compute shaders to render simple 3D surfaces. · How to use compute shaders to render parametric 3D surfaces. · How to use compute shaders to render 3D super shapes. · How to use storage buffers to store large amounts of data on the GPU. Who this book is for: · Rust app developers eager to elevate their proficiency in crafting high-performance graphics. · Graphics enthusiasts keen to explore the latest real-time graphics technologies. · Tech explorers who want to be at the forefront of Rust app development innovation. Empower your journey in Rust graphics: Rust wgpu and Compute Shaders for Real-Time Graphics is your passport to shaping the future of Rust 3D graphics. Whether you're a application developer, a graphics enthusiast, a game developer, or a tech explorer, this eBook is the perfect resource for you. Order your copy today and start creating stunning real-time graphics like never before!
Developing Graphics Frameworks With Python And Opengl
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Author : Lee Stemkoski
language : en
Publisher: CRC Press
Release Date : 2021-07-06
Developing Graphics Frameworks With Python And Opengl written by Lee Stemkoski and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-06 with Computers categories.
Developing Graphics Frameworks with Python and OpenGL shows you how to create software for rendering complete three-dimensional scenes. The authors explain the foundational theoretical concepts as well as the practical programming techniques that will enable you to create your own animated and interactive computer-generated worlds. You will learn how to combine the power of OpenGL, the most widely adopted cross-platform API for GPU programming, with the accessibility and versatility of the Python programming language. Topics you will explore include generating geometric shapes, transforming objects with matrices, applying image-based textures to surfaces, and lighting your scene. Advanced sections explain how to implement procedurally generated textures, postprocessing effects, and shadow mapping. In addition to the sophisticated graphics framework you will develop throughout this book, with the foundational knowledge you will gain, you will be able to adapt and extend the framework to achieve even more spectacular graphical results.
Wgpu By Examples
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Author : Jack Xu
language : en
Publisher:
Release Date : 2023
Wgpu By Examples written by Jack Xu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Computer graphics categories.
"Are you ready to take your graphics in Rust to the next level? Look no further than "WGPU by Examples". This comprehensive book equips you with all the tools you need to create stunning 3D graphics in your native and web applications with the help of GPU acceleration. With this book, you will discover how to design an array of 3D graphics, from basic shapes like cubes, spheres, cylinders, and tori to intricate 3D graphics like wireframes, simple and parametric surfaces, super-shapes, implicit surfaces, procedural terrains, volcanoes, Minecraft, voxel terrains, text rendering, and complex function visualization, as well as particle systems made using compute shaders. The author has simplified the learning process by breaking down the concepts of wgpu, the cutting-edge graphics API for the Web and native devices, so even those with minimal experience can grasp the fundamentals of advanced graphics."--Page 4 of cover.
Rust Wgpu Marching Cubes
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Author : Jack Xu
language : en
Publisher: UniCAD
Release Date :
Rust Wgpu Marching Cubes written by Jack Xu and has been published by UniCAD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Rust wgpu Marching Cubes – A Practical Guide to Creating Implicit 3D Surfaces and Metaballs using wgpu and Compute Shaders Welcome to the future of Rust graphics development! Rust wgpu Marching Cubes is an immersive eBook that takes a practical approach to learning wgpu, the next-generation Rust graphics API. This comprehensive resource equips you with the tools you need to make your Rust projects visually stunning, whether you're a seasoned developer or just starting out. Inside, you'll unlock the secrets to creating implicit 3D surfaces and mesmerizing metaballs on the native devices or the web, all using the power of the new wgpu graphics API. We've simplified the learning process by breaking down wgpu concepts, ensuring that even beginners with minimal experience can grasp the fundamentals of advanced graphics development. Inside this book, you'll explore: How to use the marching cubes algorithm to create intricate 3D surfaces How to harness the power of compute shaders to enhance your 3D graphics in web applications A complete guide to implicit 3D surface and metaball generation in wgpu, with comprehensive sample code listings Hands-on learning opportunities with example programs that allow you to explore the 3D graphics techniques explained in the book Rust wgpu Marching Cubes is your gateway to unlocking the full potential of wgpu and bringing breathtaking 3D graphics to your graphics applications. Whether you aspire to create immersive game environments, interactive data visualizations, or stunning web designs, this book will set you on the path to success. Join the ranks of forward-thinking Rust developers who are embracing the future of graphics with wgpu. Get your copy today and embark on a journey that will elevate your Rust development skills to new heights. Your audience will thank you for the visually stunning experiences you'll create.
Hands On Gpu Computing With Python
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Author : Avimanyu Bandyopadhyay
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-05-14
Hands On Gpu Computing With Python written by Avimanyu Bandyopadhyay and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-14 with Computers categories.
Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda Accelerate Key FeaturesUnderstand effective synchronization strategies for faster processing using GPUsWrite parallel processing scripts with PyCuda and PyOpenCLLearn to use the CUDA libraries like CuDNN for deep learning on GPUsBook Description GPUs are proving to be excellent general purpose-parallel computing solutions for high performance tasks such as deep learning and scientific computing. This book will be your guide to getting started with GPU computing. It will start with introducing GPU computing and explain the architecture and programming models for GPUs. You will learn, by example, how to perform GPU programming with Python, and you’ll look at using integrations such as PyCUDA, PyOpenCL, CuPy and Numba with Anaconda for various tasks such as machine learning and data mining. Going further, you will get to grips with GPU work flows, management, and deployment using modern containerization solutions. Toward the end of the book, you will get familiar with the principles of distributed computing for training machine learning models and enhancing efficiency and performance. By the end of this book, you will be able to set up a GPU ecosystem for running complex applications and data models that demand great processing capabilities, and be able to efficiently manage memory to compute your application effectively and quickly. What you will learnUtilize Python libraries and frameworks for GPU accelerationSet up a GPU-enabled programmable machine learning environment on your system with AnacondaDeploy your machine learning system on cloud containers with illustrated examplesExplore PyCUDA and PyOpenCL and compare them with platforms such as CUDA, OpenCL and ROCm.Perform data mining tasks with machine learning models on GPUsExtend your knowledge of GPU computing in scientific applicationsWho this book is for Data Scientist, Machine Learning enthusiasts and professionals who wants to get started with GPU computation and perform the complex tasks with low-latency. Intermediate knowledge of Python programming is assumed.
Hands On Gpu Accelerated Computer Vision With Opencv And Cuda
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Author : Bhaumik Vaidya
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-09-26
Hands On Gpu Accelerated Computer Vision With Opencv And Cuda written by Bhaumik Vaidya and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-26 with Computers categories.
Discover how CUDA allows OpenCV to handle complex and rapidly growing image data processing in computer and machine vision by accessing the power of GPU Key FeaturesExplore examples to leverage the GPU processing power with OpenCV and CUDAEnhance the performance of algorithms on embedded hardware platformsDiscover C++ and Python libraries for GPU accelerationBook Description Computer vision has been revolutionizing a wide range of industries, and OpenCV is the most widely chosen tool for computer vision with its ability to work in multiple programming languages. Nowadays, in computer vision, there is a need to process large images in real time, which is difficult to handle for OpenCV on its own. This is where CUDA comes into the picture, allowing OpenCV to leverage powerful NVDIA GPUs. This book provides a detailed overview of integrating OpenCV with CUDA for practical applications. To start with, you’ll understand GPU programming with CUDA, an essential aspect for computer vision developers who have never worked with GPUs. You’ll then move on to exploring OpenCV acceleration with GPUs and CUDA by walking through some practical examples. Once you have got to grips with the core concepts, you’ll familiarize yourself with deploying OpenCV applications on NVIDIA Jetson TX1, which is popular for computer vision and deep learning applications. The last chapters of the book explain PyCUDA, a Python library that leverages the power of CUDA and GPUs for accelerations and can be used by computer vision developers who use OpenCV with Python. By the end of this book, you’ll have enhanced computer vision applications with the help of this book's hands-on approach. What you will learnUnderstand how to access GPU device properties and capabilities from CUDA programsLearn how to accelerate searching and sorting algorithmsDetect shapes such as lines and circles in imagesExplore object tracking and detection with algorithmsProcess videos using different video analysis techniques in Jetson TX1Access GPU device properties from the PyCUDA programUnderstand how kernel execution worksWho this book is for This book is a go-to guide for you if you are a developer working with OpenCV and want to learn how to process more complex image data by exploiting GPU processing. A thorough understanding of computer vision concepts and programming languages such as C++ or Python is expected.
Practical Gpu Programming
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Author : Maris Fenlor
language : en
Publisher: GitforGits
Release Date : 2025-02-20
Practical Gpu Programming written by Maris Fenlor and has been published by GitforGits this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
If you're a Python pro looking to get the most out of your code with GPUs, then Practical GPU Programming is the right book for you. This book will walk you through the basics of GPU architectures, show you hands-on parallel programming techniques, and give you the know-how to confidently speed up real workloads in data processing, analytics, and engineering. The first thing you'll do is set up the environment, install CUDA, and get a handle on using Python libraries like PyCUDA and CuPy. You'll then dive into memory management, kernel execution, and parallel patterns like reductions and histogram computations. Then, we'll dive into sorting and search techniques, but with a focus on how GPU acceleration transforms business data processing. We'll also put a strong emphasis on linear algebra to show you how to supercharge classic vector and matrix operations with cuBLAS and CuPy. Plus, with batched computations, efficient broadcasting, custom kernels, and mixed-library workflows, you can tackle both standard and advanced problems with ease. Throughout, we evaluate numerical accuracy and performance side by side, so you can understand both the strengths and limitations of GPU-based solutions. The book covers nearly every essential skill and modern toolkit for practical GPU programming, but it's not going to turn you into a master overnight. Key Learnings Boost processing speed and efficiency for data-intensive tasks. Use CuPy and PyCUDA to write and execute custom CUDA kernels. Maximize GPU occupancy and throughput efficiency by using optimal thread block and grid configuration. Reduce global memory bottlenecks in kernels by using shared memory and coalesced access patterns. Perform dynamic kernel compilation to ensure tailored performance. Use CuPy to carry out custom, high-speed elementwise GPU operations and expressions. Implement bitonic and radix sort algorithms for large or batch integer datasets. Execute parallel linear search kernels to detect patterns rapidly. Scale matrix operations using Batched GEMM and high-level cuBLAS routines. Table of Content Introduction to GPU Fundamentals Setting up GPU Programming Environment Basic Data Transfers and Memory Types Simple Parallel Patterns Introduction to Kernel Optimization Working with PyCUDA and CuPy Features Practical Sorting and Search Linear Algebra Essentials on GPU