Computer Graphics (CS 543) Lecture 12: Part 2 Ray Tracing (Part 1) Prof
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Ray-Tracing in Vulkan.Pdf
Ray-tracing in Vulkan A brief overview of the provisional VK_KHR_ray_tracing API Jason Ekstrand, XDC 2020 Who am I? ▪ Name: Jason Ekstrand ▪ Employer: Intel ▪ First freedesktop.org commit: wayland/31511d0e dated Jan 11, 2013 ▪ What I work on: Everything Intel but not OpenGL front-end – src/intel/* – src/compiler/nir – src/compiler/spirv – src/mesa/drivers/dri/i965 – src/gallium/drivers/iris 2 Vulkan ray-tracing history: ▪ On March 19, 2018, Microsoft announced DirectX Ray-tracing (DXR) ▪ On September 19, 2018, Vulkan 1.1.85 included VK_NVX_ray_tracing for ray- tracing on Nvidia RTX GPUs ▪ On March 17, 2020, Khronos released provisional cross-vendor extensions: – VK_KHR_ray_tracing – SPV_KHR_ray_tracing ▪ Final cross-vendor Vulkan ray-tracing extensions are still in-progress within the Khronos Vulkan working group 3 Overview: My objective with this presentation is mostly educational ▪ Quick overview of ray-tracing concepts ▪ Walk through how it all maps to the Vulkan ray-tracing API ▪ Focus on the provisional VK/SPV_KHR_ray_tracing extension – There are several details that will likely be different in the final extension – None of that is public yet, sorry. – The general shape should be roughly the same between provisional and final ▪ Not going to discuss details of ray-tracing on Intel GPUs 4 What is ray-tracing? All 3D rendering is a simulation of physical light 6 7 8 Why don't we do all 3D rendering this way? The primary problem here is wasted rays ▪ The chances of a random photon from the sun hitting your scene is tiny – About 1 in -
Directx ® Ray Tracing
DIRECTX® RAYTRACING 1.1 RYS SOMMEFELDT INTRO • DirectX® Raytracing 1.1 in DirectX® 12 Ultimate • AMD RDNA™ 2 PC performance recommendations AMD PUBLIC | DirectX® 12 Ultimate: DirectX Ray Tracing 1.1 | November 2020 2 WHAT IS DXR 1.1? • Adds inline raytracing • More direct control over raytracing workload scheduling • Allows raytracing from all shader stages • Particularly well suited to solving secondary visibility problems AMD PUBLIC | DirectX® 12 Ultimate: DirectX Ray Tracing 1.1 | November 2020 3 NEW RAY ACCELERATOR AMD PUBLIC | DirectX® 12 Ultimate: DirectX Ray Tracing 1.1 | November 2020 4 DXR 1.1 BEST PRACTICES • Trace as few rays as possible to achieve the right level of quality • Content and scene dependent techniques work best • Positive results when driving your raytracing system from a scene classifier • 1 ray per pixel can generate high quality results • Especially when combined with techniques and high quality denoising systems • Lets you judiciously spend your ray tracing budget right where it will pay off AMD PUBLIC | DirectX® 12 Ultimate: DirectX Ray Tracing 1.1 | November 2020 5 USING DXR 1.1 TO TRACE RAYS • DXR 1.1 lets you call TraceRay() from any shader stage • Best performance is found when you use it in compute shaders, dispatched on a compute queue • Matches existing asynchronous compute techniques you’re already familiar with • Always have just 1 active RayQuery object in scope at any time AMD PUBLIC | DirectX® 12 Ultimate: DirectX Ray Tracing 1.1 | November 2020 6 RESOURCE BALANCING • Part of our ray tracing system -
Volume Rendering
Volume Rendering 1.1. Introduction Rapid advances in hardware have been transforming revolutionary approaches in computer graphics into reality. One typical example is the raster graphics that took place in the seventies, when hardware innovations enabled the transition from vector graphics to raster graphics. Another example which has a similar potential is currently shaping up in the field of volume graphics. This trend is rooted in the extensive research and development effort in scientific visualization in general and in volume visualization in particular. Visualization is the usage of computer-supported, interactive, visual representations of data to amplify cognition. Scientific visualization is the visualization of physically based data. Volume visualization is a method of extracting meaningful information from volumetric datasets through the use of interactive graphics and imaging, and is concerned with the representation, manipulation, and rendering of volumetric datasets. Its objective is to provide mechanisms for peering inside volumetric datasets and to enhance the visual understanding. Traditional 3D graphics is based on surface representation. Most common form is polygon-based surfaces for which affordable special-purpose rendering hardware have been developed in the recent years. Volume graphics has the potential to greatly advance the field of 3D graphics by offering a comprehensive alternative to conventional surface representation methods. The object of this thesis is to examine the existing methods for volume visualization and to find a way of efficiently rendering scientific data with commercially available hardware, like PC’s, without requiring dedicated systems. 1.2. Volume Rendering Our display screens are composed of a two-dimensional array of pixels each representing a unit area. -
Visualization Tools and Trends a Resource Tour the Obligatory Disclaimer
Visualization Tools and Trends A resource tour The obligatory disclaimer This presentation is provided as part of a discussion on transportation visualization resources. The Atlanta Regional Commission (ARC) does not endorse nor profit, in whole or in part, from any product or service offered or promoted by any of the commercial interests whose products appear herein. No funding or sponsorship, in whole or in part, has been provided in return for displaying these products. The products are listed herein at the sole discretion of the presenter and are principally oriented toward transportation practitioners as well as graphics and media professionals. The ARC disclaims and waives any responsibility, in whole or in part, for any products, services or merchandise offered by the aforementioned commercial interests or any of their associated parties or entities. You should evaluate your own individual requirements against available resources when establishing your own preferred methods of visualization. What is Visualization • As described on Wikipedia • Illustration • Information Graphics – visual representations of information data or knowledge • Mental Image – imagination • Spatial Visualization – ability to mentally manipulate 2dimensional and 3dimensional figures • Computer Graphics • Interactive Imaging • Music visual IEEE on Visualization “Traditionally the tool of the statistician and engineer, information visualization has increasingly become a powerful new medium for artists and designers as well. Owing in part to the mainstreaming -
Geforce ® RTX 2070 Overclocked Dual
GAMING GeForce RTX™ 2O7O 8GB XLR8 Gaming Overclocked Edition Up to 6X Faster Performance Real-Time Ray Tracing in Games Latest AI Enhanced Graphics Experience 6X the performance of previous-generation GeForce RTX™ 2070 is light years ahead of other cards, delivering Powered by NVIDIA Turing, GeForce™ RTX 2070 brings the graphics cards combined with maximum power efficiency. truly unique real-time ray-tracing technologies for cutting-edge, power of AI to games. hyper-realistic graphics. GRAPHICS REINVENTED PRODUCT SPECIFICATIONS ® The powerful new GeForce® RTX 2070 takes advantage of the cutting- NVIDIA CUDA Cores 2304 edge NVIDIA Turing™ architecture to immerse you in incredible realism Clock Speed 1410 MHz and performance in the latest games. The future of gaming starts here. Boost Speed 1710 MHz GeForce® RTX graphics cards are powered by the Turing GPU Memory Speed (Gbps) 14 architecture and the all-new RTX platform. This gives you up to 6x the Memory Size 8GB GDDR6 performance of previous-generation graphics cards and brings the Memory Interface 256-bit power of real-time ray tracing and AI to your favorite games. Memory Bandwidth (Gbps) 448 When it comes to next-gen gaming, it’s all about realism. GeForce RTX TDP 185 W>5 2070 is light years ahead of other cards, delivering truly unique real- NVLink Not Supported time ray-tracing technologies for cutting-edge, hyper-realistic graphics. Outputs DisplayPort 1.4 (x2), HDMI 2.0b, USB Type-C Multi-Screen Yes Resolution 7680 x 4320 @60Hz (Digital)>1 KEY FEATURES SYSTEM REQUIREMENTS Power -
Tracepro's Accurate LED Source Modeling Improves the Performance of Optical Design Simulations
TECHNICAL ARTICLE March, 2015 TracePro’s accurate LED source modeling improves the performance of optical design simulations. Modern optical modeling programs allow product design engineers to create, analyze, and optimize LED sources and LED optical systems as a virtual prototype prior to manufacturing the actual product. The precision of these virtual models depends on accurately representing the components that make up the model, including the light source. This paper discusses the physics behind light source modeling, source modeling options in TracePro, selection of the best modeling method, comparing modeled vs measured results, and source model reporting. Ray Tracing Physics and Source Representation In TracePro and other ray tracing programs, LED sources are represented as a series of individual rays, each with attributes of wavelength, luminous flux, and direction. To obtain the most accurate results, sources are typically represented using millions of individual rays. Source models range from simple (e.g. point source) to complex (e.g. 3D model) and can involve complex interactions completely within the source model. For example, a light source with integrated TIR lens can effectively be represented as a “source” in TracePro. However, sources are usually integrated with other components to represent the complete optical system. We will discuss ray tracing in this context. Ray tracing engines, in their simplest form, employ Snell’s Law and the Law of Reflection to determine the path and characteristics of each individual ray as it passes through the optical system. Figure 1 illustrates a simple optical system with reflection and refraction. Figure 1 – Simple ray trace with refraction and reflection TracePro’s sophisticated ray tracing engine incorporates specular transmission and reflection, scattered transmission and reflection, absorption, bulk scattering, polarization, fluorescence, diffraction, and gradient index properties. -
Graphics Pipeline and Rasterization
Graphics Pipeline & Rasterization Image removed due to copyright restrictions. MIT EECS 6.837 – Matusik 1 How Do We Render Interactively? • Use graphics hardware, via OpenGL or DirectX – OpenGL is multi-platform, DirectX is MS only OpenGL rendering Our ray tracer © Khronos Group. All rights reserved. This content is excluded from our Creative Commons license. For more information, see http://ocw.mit.edu/help/faq-fair-use/. 2 How Do We Render Interactively? • Use graphics hardware, via OpenGL or DirectX – OpenGL is multi-platform, DirectX is MS only OpenGL rendering Our ray tracer © Khronos Group. All rights reserved. This content is excluded from our Creative Commons license. For more information, see http://ocw.mit.edu/help/faq-fair-use/. • Most global effects available in ray tracing will be sacrificed for speed, but some can be approximated 3 Ray Casting vs. GPUs for Triangles Ray Casting For each pixel (ray) For each triangle Does ray hit triangle? Keep closest hit Scene primitives Pixel raster 4 Ray Casting vs. GPUs for Triangles Ray Casting GPU For each pixel (ray) For each triangle For each triangle For each pixel Does ray hit triangle? Does triangle cover pixel? Keep closest hit Keep closest hit Scene primitives Pixel raster Scene primitives Pixel raster 5 Ray Casting vs. GPUs for Triangles Ray Casting GPU For each pixel (ray) For each triangle For each triangle For each pixel Does ray hit triangle? Does triangle cover pixel? Keep closest hit Keep closest hit Scene primitives It’s just a different orderPixel raster of the loops! -
Ray-Tracing Procedural Displacement Shaders
Ray-tracing Procedural Displacement Shaders Wolfgang Heidrich and Hans-Peter Seidel Computer Graphics Group University of Erlangen fheidrich,[email protected] Abstract displacement shaders are resolution independent and Displacement maps and procedural displacement storage efficient. shaders are a widely used approach of specifying geo- metric detail and increasing the visual complexity of a scene. While it is relatively straightforward to handle displacement shaders in pipeline based rendering systems such as the Reyes-architecture, it is much harder to efficiently integrate displacement-mapped surfaces in ray-tracers. Many commercial ray-tracers tessellate the surface into a multitude of small trian- Figure 1: A simple displacement shader showing a gles. This introduces a series of problems such as wave function with exponential decay. The underly- excessive memory consumption and possibly unde- ing geometry used for this image is a planar polygon. tected surface detail. In this paper we describe a novel way of ray-tracing Unfortunately, because displacement shaders mod- procedural displacement shaders directly, that is, ify the geometry, their use in many rendering systems without introducing intermediate geometry. Affine is limited. Since ray-tracers cannot handle proce- arithmetic is used to compute bounding boxes for dural displacements directly, many commercial ray- the shader over any range in the parameter domain. tracing systems, such as Alias [1], tessellate geomet- The method is comparable to the direct ray-tracing ric objects with displacement shaders into a mul- of B´ezier surfaces and implicit surfaces using B´ezier titude of small triangles. Unlike in pipeline-based clipping and interval methods, respectively. renderers, such as the Reyes-architecture [17], these Keywords: ray-tracing, displacement-mapping, pro- triangles have to be kept around, and cannot be ren- cedural shaders, affine arithmetic dered independently. -
Getting Started (Pdf)
GETTING STARTED PHOTO REALISTIC RENDERS OF YOUR 3D MODELS Available for Ver. 1.01 © Kerkythea 2008 Echo Date: April 24th, 2008 GETTING STARTED Page 1 of 41 Written by: The KT Team GETTING STARTED Preface: Kerkythea is a standalone render engine, using physically accurate materials and lights, aiming for the best quality rendering in the most efficient timeframe. The target of Kerkythea is to simplify the task of quality rendering by providing the necessary tools to automate scene setup, such as staging using the GL real-time viewer, material editor, general/render settings, editors, etc., under a common interface. Reaching now the 4th year of development and gaining popularity, I want to believe that KT can now be considered among the top freeware/open source render engines and can be used for both academic and commercial purposes. In the beginning of 2008, we have a strong and rapidly growing community and a website that is more "alive" than ever! KT2008 Echo is very powerful release with a lot of improvements. Kerkythea has grown constantly over the last year, growing into a standard rendering application among architectural studios and extensively used within educational institutes. Of course there are a lot of things that can be added and improved. But we are really proud of reaching a high quality and stable application that is more than usable for commercial purposes with an amazing zero cost! Ioannis Pantazopoulos January 2008 Like the heading is saying, this is a Getting Started “step-by-step guide” and it’s designed to get you started using Kerkythea 2008 Echo. -
Ray Tracing (Shading)
CS4620/5620: Lecture 35 Ray Tracing (Shading) Cornell CS4620/5620 Fall 2012 • Lecture 35 © 2012 Kavita Bala • 1 (with previous instructors James/Marschner) Announcements • 4621 – Class today • Turn in HW3 • PPA3 is going to be out today • PA3A is out Cornell CS4620/5620 Fall 2012 • Lecture 35 © 2012 Kavita Bala • 2 (with previous instructors James/Marschner) Shading • Compute light reflected toward camera • Inputs: – eye direction – light direction (for each of many lights) l n – surface normal v – surface parameters (color, shininess, …) Cornell CS4620/5620 Fall 2012 • Lecture 35 © 2012 Kavita Bala • 3 (with previous instructors James/Marschner) Light • Local light – Position • Directional light (e.g., sun) – Direction, no position Cornell CS4620/5620 Fall 2012 • Lecture 35 © 2012 Kavita Bala • 4 (with previous instructors James/Marschner) Lambertian shading • Shading independent of view direction illumination from source l n Ld = kd I max(0, n l) Q v · diffuse coefficient diffusely reflected light Cornell CS4620/5620 Fall 2012 • Lecture 35 © 2012 Kavita Bala • 5 (with previous instructors James/Marschner) Image so far Scene.trace(Ray ray, tMin, tMax) { surface, t = hit(ray, tMin, tMax); if surface is not null { point = ray.evaluate(t); normal = surface.getNormal(point); return surface.shade(ray, point, normal, light); } else return backgroundColor; } … Surface.shade(ray, point, normal, light) { v = –normalize(ray.direction); l = normalize(light.pos – point); // compute shading } Cornell CS4620/5620 Fall 2012 • Lecture 35 © 2012 Kavita -
NVIDIA Ampere GA102 GPU Architecture Whitepaper
NVIDIA AMPERE GA102 GPU ARCHITECTURE Second-Generation RTX Updated with NVIDIA RTX A6000 and NVIDIA A40 Information V2.0 Table of Contents Introduction 5 GA102 Key Features 7 2x FP32 Processing 7 Second-Generation RT Core 7 Third-Generation Tensor Cores 8 GDDR6X and GDDR6 Memory 8 Third-Generation NVLink® 8 PCIe Gen 4 9 Ampere GPU Architecture In-Depth 10 GPC, TPC, and SM High-Level Architecture 10 ROP Optimizations 11 GA10x SM Architecture 11 2x FP32 Throughput 12 Larger and Faster Unified Shared Memory and L1 Data Cache 13 Performance Per Watt 16 Second-Generation Ray Tracing Engine in GA10x GPUs 17 Ampere Architecture RTX Processors in Action 19 GA10x GPU Hardware Acceleration for Ray-Traced Motion Blur 20 Third-Generation Tensor Cores in GA10x GPUs 24 Comparison of Turing vs GA10x GPU Tensor Cores 24 NVIDIA Ampere Architecture Tensor Cores Support New DL Data Types 26 Fine-Grained Structured Sparsity 26 NVIDIA DLSS 8K 28 GDDR6X Memory 30 RTX IO 32 Introducing NVIDIA RTX IO 33 How NVIDIA RTX IO Works 34 Display and Video Engine 38 DisplayPort 1.4a with DSC 1.2a 38 HDMI 2.1 with DSC 1.2a 38 Fifth Generation NVDEC - Hardware-Accelerated Video Decoding 39 AV1 Hardware Decode 40 Seventh Generation NVENC - Hardware-Accelerated Video Encoding 40 NVIDIA Ampere GA102 GPU Architecture ii Conclusion 42 Appendix A - Additional GeForce GA10x GPU Specifications 44 GeForce RTX 3090 44 GeForce RTX 3070 46 Appendix B - New Memory Error Detection and Replay (EDR) Technology 49 Appendix C - RTX A6000 GPU Perf ormance 50 List of Figures Figure 1. -
A Survey of Volumetric Visualization Techniques for Medical Images
International Journal of Research Studies in Computer Science and Engineering (IJRSCSE) Volume 2, Issue 4, April 2015, PP 34-39 ISSN 2349-4840 (Print) & ISSN 2349-4859 (Online) www.arcjournals.org A Survey of Volumetric Visualization Techniques for Medical Images S. Jagadesh Babu Vidya Vikas Institute of Technology, Chevella, Hyderabad, India Abstract: Medical Image Visualization provides a better visualization for doctors in clinical diagnosis, surgery operation, leading treatment and so on. It aims at a visual representation of the full dataset, of all images at the same time. The main issue is to select the most appropriate image rendering method, based on the acquired data and the medical relevance. The paper presents a review of some significant work in the area of volumetric visualization. An overview of various algorithms and analysis are provided with their assumptions, advantages and limitations, so that the user can choose the better technique to detect particular defects in any small region of the body parts which helps the doctors for more accurate and proper diagnosis of different medical ailments. Keywords: Medical Imaging, Volume Visualization, Isosurface, Surface Extraction, Direct Volume Rendering. 1. INTRODUCTION Visualization in medicine or medical visualization [1] is a special area of scientific visualization that established itself as a research area in the late 1980s. Medical visualization [1,9] is based on computer graphics, which provide representations to store 3D geometry and efficient algorithms to render such representations. Additional influence comes from image processing, which basically defined the field of medical image analysis (MIA). MIA, however, is originally the processing of 2D images, while its 3D extension was traditionally credited to medical visualization.