Programming the GPU: High-Level Shading Languages
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Nvidia Geforce 6 Series Specifications
NVIDIA GEFORCE 6 SERIES PRODUCT OVERVIEW DECEMBER 2004v06 NVIDIA GEFORCE 6 SERIES SPECIFICATIONS CINEFX 3.0 SHADING ARCHITECTURE ULTRASHADOW II TECHNOLOGY ADVANCED ENGINEERING • Vertex Shaders • Designed to enhance the performance of • Designed for PCI Express x16 ° Support for Microsoft DirectX 9.0 shadow-intensive games, like id Software’s • Support for AGP 8X including Fast Writes and Vertex Shader 3.0 Doom 3 sideband addressing Displacement mapping 3 • Designed for high-speed GDDR3 memory ° TURBOCACHE TECHNOLOGY Geometry instancing • Advanced thermal management and thermal ° • Shares the capacity and bandwidth of Infinite length vertex programs monitoring ° dedicated video memory and dynamically • Pixel Shaders available system memory for optimal system NVIDIA® DIGITAL VIBRANCE CONTROL™ Support for DirectX 9.0 Pixel Shader 3.0 ° performance (DVC) 3.0 Full pixel branching support ° • DVC color controls PC graphics such as photos, videos, and games require a Support for Multiple Render Targets (MRTs) PUREVIDEO TECHNOLOGY4 ° • DVC image sharpening controls ° Infinite length pixel programs • Adaptable programmable video processor lot of processing power. Without any help, the CPU • Next-Generation Texture Engine • High-definition MPEG-2 hardware acceleration OPERATING SYSTEMS ° Up to 16 textures per rendering pass • High-quality video scaling and filtering • Windows XP must handle all of the system and graphics ° Support for 16-bit floating point format • DVD and HDTV-ready MPEG-2 decoding up to • Windows ME and 32-bit floating point format 1920x1080i resolution • Windows 2000 processing which can result in decreased system ° Support for non-power of two textures • Display gamma correction • Windows 9X ° Support for sRGB texture format for • Microsoft® Video Mixing Renderer (VMR) • Linux performance. -
GLSL 4.50 Spec
The OpenGL® Shading Language Language Version: 4.50 Document Revision: 7 09-May-2017 Editor: John Kessenich, Google Version 1.1 Authors: John Kessenich, Dave Baldwin, Randi Rost Copyright (c) 2008-2017 The Khronos Group Inc. All Rights Reserved. This specification is protected by copyright laws and contains material proprietary to the Khronos Group, Inc. It or any components may not be reproduced, republished, distributed, transmitted, displayed, broadcast, or otherwise exploited in any manner without the express prior written permission of Khronos Group. You may use this specification for implementing the functionality therein, without altering or removing any trademark, copyright or other notice from the specification, but the receipt or possession of this specification does not convey any rights to reproduce, disclose, or distribute its contents, or to manufacture, use, or sell anything that it may describe, in whole or in part. Khronos Group grants express permission to any current Promoter, Contributor or Adopter member of Khronos to copy and redistribute UNMODIFIED versions of this specification in any fashion, provided that NO CHARGE is made for the specification and the latest available update of the specification for any version of the API is used whenever possible. Such distributed specification may be reformatted AS LONG AS the contents of the specification are not changed in any way. The specification may be incorporated into a product that is sold as long as such product includes significant independent work developed by the seller. A link to the current version of this specification on the Khronos Group website should be included whenever possible with specification distributions. -
First Person Shooting (FPS) Game
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 04 | Apr-2018 www.irjet.net p-ISSN: 2395-0072 Thunder Force - First Person Shooting (FPS) Game Swati Nadkarni1, Panjab Mane2, Prathamesh Raikar3, Saurabh Sawant4, Prasad Sawant5, Nitesh Kuwalekar6 1 Head of Department, Department of Information Technology, Shah & Anchor Kutchhi Engineering College 2 Assistant Professor, Department of Information Technology, Shah & Anchor Kutchhi Engineering College 3,4,5,6 B.E. student, Department of Information Technology, Shah & Anchor Kutchhi Engineering College ----------------------------------------------------------------***----------------------------------------------------------------- Abstract— It has been found in researches that there is an have challenged hardware development, and multiplayer association between playing first-person shooter video games gaming has been integral. First-person shooters are a type of and having superior mental flexibility. It was found that three-dimensional shooter game featuring a first-person people playing such games require a significantly shorter point of view with which the player sees the action through reaction time for switching between complex tasks, mainly the eyes of the player character. They are unlike third- because when playing fps games they require to rapidly react person shooters in which the player can see (usually from to fast moving visuals by developing a more responsive mind behind) the character they are controlling. The primary set and to shift back and forth between different sub-duties. design element is combat, mainly involving firearms. First person-shooter games are also of ten categorized as being The successful design of the FPS game with correct distinct from light gun shooters, a similar genre with a first- direction, attractive graphics and models will give the best person perspective which uses light gun peripherals, in experience to play the game. -
Energy-Efficient VLSI Architectures for Next
UNIVERSITY OF CALIFORNIA Los Angeles Energy-Efficient VLSI Architectures for Next- Generation Software-Defined and Cognitive Radios A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Electrical Engineering by Fang-Li Yuan 2014 c Copyright by Fang-Li Yuan 2014 ABSTRACT OF THE DISSERTATION Energy-Efficient VLSI Architectures for Next- Generation Software-Defined and Cognitive Radios by Fang-Li Yuan Doctor of Philosophy in Electrical Engineering University of California, Los Angeles, 2014 Professor Dejan Markovic,´ Chair Dedicated radio hardware is no longer promising as it was in the past. Today, the support of diverse standards dictates more flexible solutions. Software-defined radio (SDR) provides the flexibility by replacing dedicated blocks (i.e. ASICs) with more general processors to adapt to various functions, standards and even allow mutable de- sign changes. However, such replacement generally incurs significant efficiency loss in circuits, hindering its feasibility for energy-constrained devices. The capability of dy- namic and blind spectrum analysis, as featured in the cognitive radio (CR) technology, makes chip implementation even more challenging. This work discusses several design techniques to achieve near-ASIC energy effi- ciency while providing the flexibility required by software-defined and cognitive radios. The algorithm-architecture co-design is used to determine domain-specific dataflow ii structures to achieve the right balance between energy efficiency and flexibility. The flexible instruction-set-architecture (ISA), the multi-scale interconnects, and the multi- core dynamic scheduling are also proposed to reduce the energy overhead. We demon- strate these concepts on two real-time blind classification chips for CR spectrum anal- ysis, as well as a 16-core processor for baseband SDR signal processing. -
Advanced Computer Graphics to Do Motivation Real-Time Rendering
To Do Advanced Computer Graphics § Assignment 2 due Feb 19 § Should already be well on way. CSE 190 [Winter 2016], Lecture 12 § Contact us for difficulties etc. Ravi Ramamoorthi http://www.cs.ucsd.edu/~ravir Motivation Real-Time Rendering § Today, create photorealistic computer graphics § Goal: interactive rendering. Critical in many apps § Complex geometry, lighting, materials, shadows § Games, visualization, computer-aided design, … § Computer-generated movies/special effects (difficult or impossible to tell real from rendered…) § Until 10-15 years ago, focus on complex geometry § CSE 168 images from rendering competition (2011) § § But algorithms are very slow (hours to days) Chasm between interactivity, realism Evolution of 3D graphics rendering Offline 3D Graphics Rendering Interactive 3D graphics pipeline as in OpenGL Ray tracing, radiosity, photon mapping § Earliest SGI machines (Clark 82) to today § High realism (global illum, shadows, refraction, lighting,..) § Most of focus on more geometry, texture mapping § But historically very slow techniques § Some tweaks for realism (shadow mapping, accum. buffer) “So, while you and your children’s children are waiting for ray tracing to take over the world, what do you do in the meantime?” Real-Time Rendering SGI Reality Engine 93 (Kurt Akeley) Pictures courtesy Henrik Wann Jensen 1 New Trend: Acquired Data 15 years ago § Image-Based Rendering: Real/precomputed images as input § High quality rendering: ray tracing, global illumination § Little change in CSE 168 syllabus, from 2003 to -
Developer Tools Showcase
Developer Tools Showcase Randy Fernando Developer Tools Product Manager NVISION 2008 Software Content Creation Performance Education Development FX Composer Shader PerfKit Conference Presentations Debugger mental mill PerfHUD Whitepapers Artist Edition Direct3D SDK PerfSDK GPU Programming Guide NVIDIA OpenGL SDK Shader Library GLExpert Videos CUDA SDK NV PIX Plug‐in Photoshop Plug‐ins Books Cg Toolkit gDEBugger GPU Gems 3 Texture Tools NVSG GPU Gems 2 Melody PhysX SDK ShaderPerf GPU Gems PhysX Plug‐Ins PhysX VRD PhysX Tools The Cg Tutorial NVIDIA FX Composer 2.5 The World’s Most Advanced Shader Authoring Environment DirectX 10 Support NVIDIA Shader Debugger Support ShaderPerf 2.0 Integration Visual Models & Styles Particle Systems Improved User Interface Particle Systems All-New Start Page 350Z Sample Project Visual Models & Styles Other Major Features Shader Creation Wizard Code Editor Quickly create common shaders Full editor with assisted Shader Library code generation Hundreds of samples Properties Panel Texture Viewer HDR Color Picker Materials Panel View, organize, and apply textures Even More Features Automatic Light Binding Complete Scripting Support Support for DirectX 10 (Geometry Shaders, Stream Out, Texture Arrays) Support for COLLADA, .FBX, .OBJ, .3DS, .X Extensible Plug‐in Architecture with SDK Customizable Layouts Semantic and Annotation Remapping Vertex Attribute Packing Remote Control Capability New Sample Projects 350Z Visual Styles Atmospheric Scattering DirectX 10 PCSS Soft Shadows Materials Post‐Processing Simple Shadows -
GPU-Based Deep Learning Inference
Whitepaper GPU-Based Deep Learning Inference: A Performance and Power Analysis November 2015 1 Contents Abstract ......................................................................................................................................................... 3 Introduction .................................................................................................................................................. 3 Inference versus Training .............................................................................................................................. 4 GPUs Excel at Neural Network Inference ..................................................................................................... 5 Inference Optimizations in Caffe and cuDNN 4 ........................................................................................ 5 Experimental Setup and Testing Methodology ........................................................................................ 7 Inference on Small and Large GPUs .......................................................................................................... 8 Conclusion ................................................................................................................................................... 10 References .................................................................................................................................................. 10 2 Abstract Deep learning methods are revolutionizing various areas of machine perception. On a -
Slang: Language Mechanisms for Extensible Real-Time Shading Systems
Slang: language mechanisms for extensible real-time shading systems YONG HE, Carnegie Mellon University KAYVON FATAHALIAN, Stanford University TIM FOLEY, NVIDIA Designers of real-time rendering engines must balance the conicting goals and GPU eciently, and minimizing CPU overhead using the new of maintaining clear, extensible shading systems and achieving high render- parameter binding model oered by the modern Direct3D 12 and ing performance. In response, engine architects have established eective de- Vulkan graphics APIs. sign patterns for authoring shading systems, and developed engine-specic To help navigate the tension between performance and maintain- code synthesis tools, ranging from preprocessor hacking to domain-specic able/extensible code, engine architects have established eective shading languages, to productively implement these patterns. The problem is design patterns for authoring shading systems, and developed code that proprietary tools add signicant complexity to modern engines, lack ad- vanced language features, and create additional challenges for learning and synthesis tools, ranging from preprocessor hacking, to metapro- adoption. We argue that the advantages of engine-specic code generation gramming, to engine-proprietary domain-specic languages (DSLs) tools can be achieved using the underlying GPU shading language directly, [Tatarchuk and Tchou 2017], for implementing these patterns. For provided the shading language is extended with a small number of best- example, the idea of shader components [He et al. 2017] was recently practice principles from modern, well-established programming languages. presented as a pattern for achieving both high rendering perfor- We identify that adding generics with interface constraints, associated types, mance and maintainable code structure when specializing shader and interface/structure extensions to existing C-like GPU shading languages code to coarse-grained features such as a surface material pattern or enables real-time renderer developers to build shading systems that are a tessellation eect. -
Release 65 Notes
ForceWare Graphics Drivers Release 65 Notes Version 66.81 Windows XP / 2000 Windows 98 / ME NVIDIA Corporation October 4, 2004 Published by NVIDIA Corporation 2701 San Tomas Expressway Santa Clara, CA 95050 Notice ALL NVIDIA DESIGN SPECIFICATIONS, REFERENCE BOARDS, FILES, DRAWINGS, DIAGNOSTICS, LISTS, AND OTHER DOCUMENTS (TOGETHER AND SEPARATELY, “MATERIALS”) ARE BEING PROVIDED “AS IS.” NVIDIA MAKES NO WARRANTIES, EXPRESSED, IMPLIED, STATUTORY, OR OTHERWISE WITH RESPECT TO THE MATERIALS, AND EXPRESSLY DISCLAIMS ALL IMPLIED WARRANTIES OF NONINFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. Information furnished is believed to be accurate and reliable. However, NVIDIA Corporation assumes no responsibility for the consequences of use of such information or for any infringement of patents or other rights of third parties that may result from its use. No license is granted by implication or otherwise under any patent or patent rights of NVIDIA Corporation. Specifications mentioned in this publication are subject to change without notice. This publication supersedes and replaces all information previously supplied. NVIDIA Corporation products are not authorized for use as critical components in life support devices or systems without express written approval of NVIDIA Corporation. Trademarks NVIDIA, the NVIDIA logo, 3DFX, 3DFX INTERACTIVE, the 3dfx Logo, STB, STB Systems and Design, the STB Logo, the StarBox Logo, NVIDIA nForce, GeForce, NVIDIA Quadro, NVDVD, NVIDIA Personal Cinema, NVIDIA Soundstorm, Vanta, TNT2, TNT, RIVA, -
Webgl™ Optimizations for Mobile
WebGL™ Optimizations for Mobile Lorenzo Dal Col Senior Software Engineer, ARM 1 Agenda 1. Introduction to WebGL™ on mobile . Rendering Pipeline . Locate the bottleneck 2. Performance analysis and debugging tools for WebGL . Generic optimization tips 3. PlayCanvas experience . WebGL Inspector 4. Use case: PlayCanvas Swooop . ARM® DS-5 Streamline . ARM Mali™ Graphics Debugger 5. Q & A 2 Bring the Power of OpenGL® ES to Mobile Browsers What is WebGL™? Why WebGL? . A cross-platform, royalty free web . It brings plug-in free 3D to the web, standard implemented right into the browser. Low-level 3D graphics API . Major browser vendors are members of . Based on OpenGL® ES 2.0 the WebGL Working Group: . A shader based API using GLSL . Apple (Safari® browser) . Mozilla (Firefox® browser) (OpenGL Shading Language) . Google (Chrome™ browser) . Opera (Opera™ browser) . Some concessions made to JavaScript™ (memory management) 3 Introduction to WebGL™ . How does it fit in a web browser? . You use JavaScript™ to control it. Your JavaScript is embedded in HTML5 and uses its Canvas element to draw on. What do you need to start creating graphics? . Obtain WebGLrenderingContext object for a given HTMLCanvasElement. It creates a drawing buffer into which the API calls are rendered. For example: var canvas = document.getElementById('canvas1'); var gl = canvas.getContext('webgl'); canvas.width = newWidth; canvas.height = newHeight; gl.viewport(0, 0, canvas.width, canvas.height); 4 WebGL™ Stack What is happening when a WebGL page is loaded . User enters URL . HTTP stack requests the HTML page Browser . Additional requests will be necessary to get Space User JavaScript™ code and other resources WebKit JavaScript Engine . -
Release 85 Notes
ForceWare Graphics Drivers Release 85 Notes Version 88.61 For Windows Vista x86 and Windows Vista x64 NVIDIA Corporation May 2006 Published by NVIDIA Corporation 2701 San Tomas Expressway Santa Clara, CA 95050 Notice ALL NVIDIA DESIGN SPECIFICATIONS, REFERENCE BOARDS, FILES, DRAWINGS, DIAGNOSTICS, LISTS, AND OTHER DOCUMENTS (TOGETHER AND SEPARATELY, “MATERIALS”) ARE BEING PROVIDED “AS IS.” NVIDIA MAKES NO WARRANTIES, EXPRESSED, IMPLIED, STATUTORY, OR OTHERWISE WITH RESPECT TO THE MATERIALS, AND EXPRESSLY DISCLAIMS ALL IMPLIED WARRANTIES OF NONINFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. Information furnished is believed to be accurate and reliable. However, NVIDIA Corporation assumes no responsibility for the consequences of use of such information or for any infringement of patents or other rights of third parties that may result from its use. No license is granted by implication or otherwise under any patent or patent rights of NVIDIA Corporation. Specifications mentioned in this publication are subject to change without notice. This publication supersedes and replaces all information previously supplied. NVIDIA Corporation products are not authorized for use as critical components in life support devices or systems without express written approval of NVIDIA Corporation. Trademarks NVIDIA, the NVIDIA logo, 3DFX, 3DFX INTERACTIVE, the 3dfx Logo, STB, STB Systems and Design, the STB Logo, the StarBox Logo, NVIDIA nForce, GeForce, NVIDIA Quadro, NVDVD, NVIDIA Personal Cinema, NVIDIA Soundstorm, Vanta, TNT2, TNT, -
Shippensburg University Investment Management Program
Shippensburg University Investment Management Program Hold NVIDIA Corp. (NASDAQ: NVDA) 11.03.2020 Current Price Fair Value 52 Week Range $501.36 $300 $180.68 - 589.07 Analyst: Valentina Alonso Key Stock Statistics Email: [email protected] Sector: Information Technology Revenue (TTM) $13.06B Stock Type: Large Growth Operating Margin (TTM) 28.56% Industry: Semiconductors and Semiconductors Equipment Market Cap: $309.697B Net Income (TTM) $3.39B EPS (TTM) $5.44 Operating Cash Flow (TTM) $5.58B Free Cash Flow (TTM) $3.67B Return on Assets (TTM) 11.67% Return on Equity (TTM) 27.94% P/E $92.59 Company overview P/B $22.32 Nvidia is the leading designer of graphics processing units that P/S $23.29 enhance the experience on computing platforms. The firm's chips are used in a variety of end markets, including high-end PCs for gaming, P/FCF 44.22 data centers, and automotive infotainment systems. In recent years, the firm has broadened its focus from traditional PC graphics Beta (5-Year) 1.54 applications such as gaming to more complex and favorable Dividend Yield 0.13% opportunities, including artificial intelligence and autonomous driving, which leverage the high-performance capabilities of the Projected 5 Year Growth 17.44% firm's graphics processing units. (per annum) Contents Executive Summary ....................................................................................................................................................3 Company Overview ....................................................................................................................................................4