Webgpu Voxel Terrains
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| Author | : Jack Xu |
| Publisher | : UniCAD |
| Total Pages | : 136 |
| Release | : 101-01-01 |
| Genre | : Computers |
| ISBN | : |
WebGPU Voxel Terrains: Create Volumetric Landscapes Using Compute Shaders Learn how to create stunning voxel terrains for your web applications with this concise guide. This book covers the entire process of voxel terrain creation, from the basics of marching cubes to advanced techniques like crafting voxel volcanoes. With practical code examples, you'll have hands-on guidance throughout. Explore real-time voxel terrain creation with WebGPU and compute shaders. By reading and practicing with the included examples, you'll gain a deep understanding and the ability to implement these techniques in your own projects. Discover practical projects to solidify your skills in voxel terrain generation. This book is suitable for web developers, game developers, and anyone interested in procedural voxel terrain creation.
| Author | : Jack Xu |
| Publisher | : UniCAD |
| Total Pages | : 522 |
| Release | : 2023-05-10 |
| Genre | : Computers |
| ISBN | : |
Are you ready to take your web graphics to the next level? Look no further than "WebGPU by Examples". This comprehensive guide equips you with all the tools you need to create stunning 3D graphics in your 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, supershapes, 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 WebGPU, the cutting-edge graphics API for the Web, so even those with minimal experience can grasp the fundamentals of advanced graphics development. This book includes: - Introduce a starter template for graphics programming with WebGPU. - Create basic 3D shapes like cube, sphere, cylinder, torus, etc. - Design intricate 3D surface graphics such as wireframes, simple and parametric 3D surfaces, and procedural terrains. - Simulate light and shadow using different models, including point, directional, and spot light. - Implement physical-based rendering lighting methods to create realistic graphics. - Apply colormap and texture techniques to 3D surfaces. - Generate 3D surfaces and super shapes using compute shaders for improving performance. - Construct marching cubes for generating 3D implicit surfaces, metaballs, and voxel terrains. - Visualize complex functions using 3D plots and domain coloring. - Create particle systems for 3D graphics applications. Whether you are a beginner or an experienced developer, this book is the ideal resource to help you design a wide range of graphics applications in WebGPU. So, are you ready to explore next-generation web graphics and compute API? Start your journey with "WebGPU by Examples" today!
| Author | : Andrew S. Glassner |
| Publisher | : Elsevier |
| Total Pages | : 359 |
| Release | : 1989-06-01 |
| Genre | : Computers |
| ISBN | : 0080499058 |
The creation of ever more realistic 3-D images is central to the development of computer graphics. The ray tracing technique has become one of the most popular and powerful means by which photo-realistic images can now be created. The simplicity, elegance and ease of implementation makes ray tracing an essential part of understanding and exploiting state-of-the-art computer graphics.An Introduction to Ray Tracing develops from fundamental principles to advanced applications, providing "how-to" procedures as well as a detailed understanding of the scientific foundations of ray tracing. It is also richly illustrated with four-color and black-and-white plates. This is a book which will be welcomed by all concerned with modern computer graphics, image processing, and computer-aided design. - Provides practical "how-to" information - Contains high quality color plates of images created using ray tracing techniques - Progresses from a basic understanding to the advanced science and application of ray tracing
| Author | : Brian R. Kent |
| Publisher | : Morgan & Claypool Publishers |
| Total Pages | : 125 |
| Release | : 2014-04-01 |
| Genre | : Technology & Engineering |
| ISBN | : 1627056130 |
This is the first book written on using Blender (an open-source visualization suite widely used in the entertainment and gaming industries) for scientific visualization. It is a practical and interesting introduction to Blender for understanding key parts of 3D rendering that pertain to the sciences via step-by-step guided tutorials. Any time you see an awesome science animation in the news, you will now know how to develop exciting visualizations and animations with your own data. 3D Scientific Visualization with Blender takes you through an understanding of 3D graphics and modeling for different visualization scenarios in the physical sciences. This includes guides and tutorials for: understanding and manipulating the interface; generating 3D models; understanding lighting, animation, and camera control; and scripting data import with the Python API. The agility of Blender and its well organized Python API make it an exciting and unique visualization suite every modern scientific/engineering workbench should include. Blender provides multiple scientific visualizations including: solid models/surfaces/rigid body simulations; data cubes/transparent/translucent rendering; 3D catalogs; N-body simulations; soft body simulations; surface/terrain maps; and phenomenological models. The possibilities for generating visualizations are considerable via this ever growing software package replete with a vast community of users providing support and ideas.
| Author | : Jack Xu |
| Publisher | : UniCAD |
| Total Pages | : 652 |
| Release | : 2019-03 |
| Genre | : Business & Economics |
| ISBN | : 0979372569 |
This book provides comprehensive details of developing ultra-modern, responsive single-page applications (SPA) for quantitative finance using ASP.NET Core and Angular. It pays special attention to create distributed web SPA applications and reusable libraries that can be directly used to solve real-world problems in quantitative finance. The book contains: Overview of ASP.NET Core and Angular, which is necessary to create SPA for quantitative finance. Step-by-step approaches to create a variety of Angular compatible real-time stock charts and technical indicators using ECharts and TA-Lib. Introduction to access market data from online data sources using .NET Web API and Angular service, including EOD, intraday, real-time stock quotes, interest rates. Detailed procedures to price equity options and fixed-income instruments using QuantLib, including European/American/Barrier/Bermudan options, bonds, CDS, as well as related topics such as cash flows, term structures, yield curves, discount factors, and zero-coupon bonds. Detailed explanation to linear analysis and machine learning in finance, which covers linear regression, PCA, KNN, SVM, and neural networks. In-depth descriptions of trading strategy development and back-testing for crossover and z-score based trading signals.
| Author | : Lee Stemkoski |
| Publisher | : CRC Press |
| Total Pages | : 272 |
| Release | : 2021-07-07 |
| Genre | : Computers |
| ISBN | : 1000407977 |
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.
| Author | : Jack Xu |
| Publisher | : UniCAD |
| Total Pages | : 445 |
| Release | : 2021-06-11 |
| Genre | : Computers |
| ISBN | : |
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.
| Author | : Gabriel Gambetta |
| Publisher | : No Starch Press |
| Total Pages | : 250 |
| Release | : 2021-05-13 |
| Genre | : Computers |
| ISBN | : 1718500769 |
Computer Graphics from Scratch demystifies the algorithms used in modern graphics software and guides beginners through building photorealistic 3D renders. Computer graphics programming books are often math-heavy and intimidating for newcomers. Not this one. Computer Graphics from Scratch takes a simpler approach by keeping the math to a minimum and focusing on only one aspect of computer graphics, 3D rendering. You’ll build two complete, fully functional renderers: a raytracer, which simulates rays of light as they bounce off objects, and a rasterizer, which converts 3D models into 2D pixels. As you progress you’ll learn how to create realistic reflections and shadows, and how to render a scene from any point of view. Pseudocode examples throughout make it easy to write your renderers in any language, and links to live JavaScript demos of each algorithm invite you to explore further on your own. Learn how to: Use perspective projection to draw 3D objects on a 2D plane Simulate the way rays of light interact with surfaces Add mirror-like reflections and cast shadows to objects Render a scene from any camera position using clipping planes Use flat, Gouraud, and Phong shading to mimic real surface lighting Paint texture details onto basic shapes to create realistic-looking objects Whether you’re an aspiring graphics engineer or a novice programmer curious about how graphics algorithms work, Gabriel Gambetta’s simple, clear explanations will quickly put computer graphics concepts and rendering techniques within your reach. All you need is basic coding knowledge and high school math. Computer Graphics from Scratch will cover the rest.
| Author | : Robert Robey |
| Publisher | : Simon and Schuster |
| Total Pages | : 702 |
| Release | : 2021-08-24 |
| Genre | : Computers |
| ISBN | : 1638350388 |
Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. Summary Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware. About the technology Write fast, powerful, energy efficient programs that scale to tackle huge volumes of data. Using parallel programming, your code spreads data processing tasks across multiple CPUs for radically better performance. With a little help, you can create software that maximizes both speed and efficiency. About the book Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. You’ll learn to evaluate hardware architectures and work with industry standard tools such as OpenMP and MPI. You’ll master the data structures and algorithms best suited for high performance computing and learn techniques that save energy on handheld devices. You’ll even run a massive tsunami simulation across a bank of GPUs. What's inside Planning a new parallel project Understanding differences in CPU and GPU architecture Addressing underperforming kernels and loops Managing applications with batch scheduling About the reader For experienced programmers proficient with a high-performance computing language like C, C++, or Fortran. About the author Robert Robey works at Los Alamos National Laboratory and has been active in the field of parallel computing for over 30 years. Yuliana Zamora is currently a PhD student and Siebel Scholar at the University of Chicago, and has lectured on programming modern hardware at numerous national conferences. Table of Contents PART 1 INTRODUCTION TO PARALLEL COMPUTING 1 Why parallel computing? 2 Planning for parallelization 3 Performance limits and profiling 4 Data design and performance models 5 Parallel algorithms and patterns PART 2 CPU: THE PARALLEL WORKHORSE 6 Vectorization: FLOPs for free 7 OpenMP that performs 8 MPI: The parallel backbone PART 3 GPUS: BUILT TO ACCELERATE 9 GPU architectures and concepts 10 GPU programming model 11 Directive-based GPU programming 12 GPU languages: Getting down to basics 13 GPU profiling and tools PART 4 HIGH PERFORMANCE COMPUTING ECOSYSTEMS 14 Affinity: Truce with the kernel 15 Batch schedulers: Bringing order to chaos 16 File operations for a parallel world 17 Tools and resources for better code
| Author | : James Reinders |
| Publisher | : Apress |
| Total Pages | : 548 |
| Release | : 2020-11-19 |
| Genre | : Computers |
| ISBN | : 9781484255735 |
Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing you from being locked into any particular computing device. Now a single C++ application can use any combination of devices—including GPUs, CPUs, FPGAs and AI ASICs—that are suitable to the problems at hand. This book begins by introducing data parallelism and foundational topics for effective use of the SYCL standard from the Khronos Group and Data Parallel C++ (DPC++), the open source compiler used in this book. Later chapters cover advanced topics including error handling, hardware-specific programming, communication and synchronization, and memory model considerations. Data Parallel C++ provides you with everything needed to use SYCL for programming heterogeneous systems. What You'll Learn Accelerate C++ programs using data-parallel programming Target multiple device types (e.g. CPU, GPU, FPGA) Use SYCL and SYCL compilers Connect with computing’s heterogeneous future via Intel’s oneAPI initiative Who This Book Is For Those new data-parallel programming and computer programmers interested in data-parallel programming using C++.
