Appendix a Fundamentals of the Graphics Pipeline Architecture
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CUDA by Example
CUDA by Example AN INTRODUCTION TO GENERAL-PURPOSE GPU PROGRAMMING JASON SaNDERS EDWARD KANDROT Upper Saddle River, NJ • Boston • Indianapolis • San Francisco New York • Toronto • Montreal • London • Munich • Paris • Madrid Capetown • Sydney • Tokyo • Singapore • Mexico City Sanders_book.indb 3 6/12/10 3:15:14 PM Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and the publisher was aware of a trademark claim, the designations have been printed with initial capital letters or in all capitals. The authors and publisher have taken care in the preparation of this book, but make no expressed or implied warranty of any kind and assume no responsibility for errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of the use of the information or programs contained herein. NVIDIA makes no warranty or representation that the techniques described herein are free from any Intellectual Property claims. The reader assumes all risk of any such claims based on his or her use of these techniques. The publisher offers excellent discounts on this book when ordered in quantity for bulk purchases or special sales, which may include electronic versions and/or custom covers and content particular to your business, training goals, marketing focus, and branding interests. For more information, please contact: U.S. Corporate and Government Sales (800) 382-3419 [email protected] For sales outside the United States, please contact: International Sales [email protected] Visit us on the Web: informit.com/aw Library of Congress Cataloging-in-Publication Data Sanders, Jason. -
Gs-35F-4677G
March 2013 NCS Technologies, Inc. Information Technology (IT) Schedule Contract Number: GS-35F-4677G FEDERAL ACQUISTIION SERVICE INFORMATION TECHNOLOGY SCHEDULE PRICELIST GENERAL PURPOSE COMMERCIAL INFORMATION TECHNOLOGY EQUIPMENT Special Item No. 132-8 Purchase of Hardware 132-8 PURCHASE OF EQUIPMENT FSC CLASS 7010 – SYSTEM CONFIGURATION 1. End User Computer / Desktop 2. Professional Workstation 3. Server 4. Laptop / Portable / Notebook FSC CLASS 7-25 – INPUT/OUTPUT AND STORAGE DEVICES 1. Display 2. Network Equipment 3. Storage Devices including Magnetic Storage, Magnetic Tape and Optical Disk NCS TECHNOLOGIES, INC. 7669 Limestone Drive Gainesville, VA 20155-4038 Tel: (703) 621-1700 Fax: (703) 621-1701 Website: www.ncst.com Contract Number: GS-35F-4677G – Option Year 3 Period Covered by Contract: May 15, 1997 through May 14, 2017 GENERAL SERVICE ADMINISTRATION FEDERAL ACQUISTIION SERVICE Products and ordering information in this Authorized FAS IT Schedule Price List is also available on the GSA Advantage! System. Agencies can browse GSA Advantage! By accessing GSA’s Home Page via Internet at www.gsa.gov. TABLE OF CONTENTS INFORMATION FOR ORDERING OFFICES ............................................................................................................................................................................................................................... TC-1 SPECIAL NOTICE TO AGENCIES – SMALL BUSINESS PARTICIPATION 1. Geographical Scope of Contract ............................................................................................................................................................................................................................. -
The Intro to GPGPU CPU Vs
12/12/11! The Intro to GPGPU . Dr. Chokchai (Box) Leangsuksun, PhD! Louisiana Tech University. Ruston, LA! ! CPU vs. GPU • CPU – Fast caches – Branching adaptability – High performance • GPU – Multiple ALUs – Fast onboard memory – High throughput on parallel tasks • Executes program on each fragment/vertex • CPUs are great for task parallelism • GPUs are great for data parallelism Supercomputing 20082 Education Program 1! 12/12/11! CPU vs. GPU - Hardware • More transistors devoted to data processing CUDA programming guide 3.1 3 CPU vs. GPU – Computation Power CUDA programming guide 3.1! 2! 12/12/11! CPU vs. GPU – Memory Bandwidth CUDA programming guide 3.1! What is GPGPU ? • General Purpose computation using GPU in applications other than 3D graphics – GPU accelerates critical path of application • Data parallel algorithms leverage GPU attributes – Large data arrays, streaming throughput – Fine-grain SIMD parallelism – Low-latency floating point (FP) computation © David Kirk/NVIDIA and Wen-mei W. Hwu, 2007! ECE 498AL, University of Illinois, Urbana-Champaign! 3! 12/12/11! Why is GPGPU? • Large number of cores – – 100-1000 cores in a single card • Low cost – less than $100-$1500 • Green computing – Low power consumption – 135 watts/card – 135 w vs 30000 w (300 watts * 100) • 1 card can perform > 100 desktops 12/14/09!– $750 vs 50000 ($500 * 100) 7 Two major players 4! 12/12/11! Parallel Computing on a GPU • NVIDIA GPU Computing Architecture – Via a HW device interface – In laptops, desktops, workstations, servers • Tesla T10 1070 from 1-4 TFLOPS • AMD/ATI 5970 x2 3200 cores • NVIDIA Tegra is an all-in-one (system-on-a-chip) ATI 4850! processor architecture derived from the ARM family • GPU parallelism is better than Moore’s law, more doubling every year • GPGPU is a GPU that allows user to process both graphics and non-graphics applications. -
Driver Riva Tnt2 64
Driver riva tnt2 64 click here to download The following products are supported by the drivers: TNT2 TNT2 Pro TNT2 Ultra TNT2 Model 64 (M64) TNT2 Model 64 (M64) Pro Vanta Vanta LT GeForce. The NVIDIA TNT2™ was the first chipset to offer a bit frame buffer for better quality visuals at higher resolutions, bit color for TNT2 M64 Memory Speed. NVIDIA no longer provides hardware or software support for the NVIDIA Riva TNT GPU. The last Forceware unified display driver which. version now. NVIDIA RIVA TNT2 Model 64/Model 64 Pro is the first family of high performance. Drivers > Video & Graphic Cards. Feedback. NVIDIA RIVA TNT2 Model 64/Model 64 Pro: The first chipset to offer a bit frame buffer for better quality visuals Subcategory, Video Drivers. Update your computer's drivers using DriverMax, the free driver update tool - Display Adapters - NVIDIA - NVIDIA RIVA TNT2 Model 64/Model 64 Pro Computer. (In Windows 7 RC1 there was the build in TNT2 drivers). http://kemovitra. www.doorway.ru Use the links on this page to download the latest version of NVIDIA RIVA TNT2 Model 64/Model 64 Pro (Microsoft Corporation) drivers. All drivers available for. NVIDIA RIVA TNT2 Model 64/Model 64 Pro - Driver Download. Updating your drivers with Driver Alert can help your computer in a number of ways. From adding. Nvidia RIVA TNT2 M64 specs and specifications. Price comparisons for the Nvidia RIVA TNT2 M64 and also where to download RIVA TNT2 M64 drivers. Windows 7 and Windows Vista both fail to recognize the Nvidia Riva TNT2 ( Model64/Model 64 Pro) which means you are restricted to a low. -
Real-Time Rendering Techniques with Hardware Tessellation
Volume 34 (2015), Number x pp. 0–24 COMPUTER GRAPHICS forum Real-time Rendering Techniques with Hardware Tessellation M. Nießner1 and B. Keinert2 and M. Fisher1 and M. Stamminger2 and C. Loop3 and H. Schäfer2 1Stanford University 2University of Erlangen-Nuremberg 3Microsoft Research Abstract Graphics hardware has been progressively optimized to render more triangles with increasingly flexible shading. For highly detailed geometry, interactive applications restricted themselves to performing transforms on fixed geometry, since they could not incur the cost required to generate and transfer smooth or displaced geometry to the GPU at render time. As a result of recent advances in graphics hardware, in particular the GPU tessellation unit, complex geometry can now be generated on-the-fly within the GPU’s rendering pipeline. This has enabled the generation and displacement of smooth parametric surfaces in real-time applications. However, many well- established approaches in offline rendering are not directly transferable due to the limited tessellation patterns or the parallel execution model of the tessellation stage. In this survey, we provide an overview of recent work and challenges in this topic by summarizing, discussing, and comparing methods for the rendering of smooth and highly-detailed surfaces in real-time. 1. Introduction Hardware tessellation has attained widespread use in computer games for displaying highly-detailed, possibly an- Graphics hardware originated with the goal of efficiently imated, objects. In the animation industry, where displaced rendering geometric surfaces. GPUs achieve high perfor- subdivision surfaces are the typical modeling and rendering mance by using a pipeline where large components are per- primitive, hardware tessellation has also been identified as a formed independently and in parallel. -
Programmable Shading in Opengl
Computer Graphics - Programmable Shading in OpenGL - Arsène Pérard-Gayot History • Pre-GPU graphics acceleration – SGI, Evans & Sutherland – Introduced concepts like vertex transformation and texture mapping • First-generation GPUs (-1998) – NVIDIA TNT2, ATI Rage, Voodoo3 – Vertex transformation on CPU, limited set of math operations • Second-generation GPUs (1999-2000) – GeForce 256, GeForce2, Radeon 7500, Savage3D – Transformation & lighting, more configurable, still not programmable • Third-generation GPUs (2001) – GeForce3, GeForce4 Ti, Xbox, Radeon 8500 – Vertex programmability, pixel-level configurability • Fourth-generation GPUs (2002) – GeForce FX series, Radeon 9700 and on – Vertex-level and pixel-level programmability (limited) • Eighth-generation GPUs (2007) – Geometry shaders, feedback, unified shaders, … • Ninth-generation GPUs (2009/10) – OpenCL/DirectCompute, hull & tesselation shaders Graphics Hardware Gener Year Product Process Transistors Antialiasing Polygon ation fill rate rate 1st 1998 RIVA TNT 0.25μ 7 M 50 M 6 M 1st 1999 RIVA TNT2 0.22μ 9 M 75 M 9 M 2nd 1999 GeForce 256 0.22μ 23 M 120 M 15 M 2nd 2000 GeForce2 0.18μ 25 M 200 M 25 M 3rd 2001 GeForce3 0.15μ 57 M 800 M 30 M 3rd 2002 GeForce4 Ti 0.15μ 63 M 1,200 M 60 M 4th 2003 GeForce FX 0.13μ 125 M 2,000 M 200 M 8th 2007 GeForce 8800 0.09μ 681 M 36,800 M 13,800 M (GT100) 8th 2008 GeForce 280 0.065μ 1,400 M 48,200 M ?? (GT200) 9th 2009 GeForce 480 0.04μ 3,000 M 42,000 M ?? (GF100) Shading Languages • Small program fragments (plug-ins) – Compute certain aspects of the -
Programming Graphics Hardware Overview of the Tutorial: Afternoon
Tutorial 5 ProgrammingProgramming GraphicsGraphics HardwareHardware Randy Fernando, Mark Harris, Matthias Wloka, Cyril Zeller Overview of the Tutorial: Morning 8:30 Introduction to the Hardware Graphics Pipeline Cyril Zeller 9:30 Controlling the GPU from the CPU: the 3D API Cyril Zeller 10:15 Break 10:45 Programming the GPU: High-level Shading Languages Randy Fernando 12:00 Lunch Tutorial 5: Programming Graphics Hardware Overview of the Tutorial: Afternoon 12:00 Lunch 14:00 Optimizing the Graphics Pipeline Matthias Wloka 14:45 Advanced Rendering Techniques Matthias Wloka 15:45 Break 16:15 General-Purpose Computation Using Graphics Hardware Mark Harris 17:30 End Tutorial 5: Programming Graphics Hardware Tutorial 5: Programming Graphics Hardware IntroductionIntroduction toto thethe HardwareHardware GraphicsGraphics PipelinePipeline Cyril Zeller Overview Concepts: Real-time rendering Hardware graphics pipeline Evolution of the PC hardware graphics pipeline: 1995-1998: Texture mapping and z-buffer 1998: Multitexturing 1999-2000: Transform and lighting 2001: Programmable vertex shader 2002-2003: Programmable pixel shader 2004: Shader model 3.0 and 64-bit color support PC graphics software architecture Performance numbers Tutorial 5: Programming Graphics Hardware Real-Time Rendering Graphics hardware enables real-time rendering Real-time means display rate at more than 10 images per second 3D Scene = Image = Collection of Array of pixels 3D primitives (triangles, lines, points) Tutorial 5: Programming Graphics Hardware Hardware Graphics Pipeline -
GPU Architecture • Display Controller • Designing for Safety • Vision Processing
i.MX 8 GRAPHICS ARCHITECTURE FTF-DES-N1940 RAFAL MALEWSKI HEAD OF GRAPHICS TECH ENGINEERING CENTER MAY 18, 2016 PUBLIC USE AGENDA • i.MX 8 Series Scalability • GPU Architecture • Display Controller • Designing for Safety • Vision Processing 1 PUBLIC USE #NXPFTF 1 PUBLIC USE #NXPFTF i.MX is… 2 PUBLIC USE #NXPFTF SoC Scalability = Investment Re-Use Replace the Chip a Increase capability. (Pin, Software, IP compatibility among parts) 3 PUBLIC USE #NXPFTF i.MX 8 Series GPU Cores • Dual Core GPU Up to 4 displays Accelerated ARM Cores • 16 Vec4 Shaders Vision Cortex-A53 | Cortex-A72 8 • Up to 128 GFLOPS • 64 execution units 8QuadMax 8 • Tessellation/Geometry total pixels Shaders Pin Compatibility Pin • Dual Core GPU Up to 4 displays Accelerated • 8 Vec4 Shaders Vision 4 • Up to 64 GFLOPS • 32 execution units 4 total pixels 8QuadPlus • Tessellation/Geometry Compatibility Software Shaders • Dual Core GPU Up to 4 displays Accelerated • 8 Vec4 Shaders Vision 4 • Up to 64 GFLOPS 4 • 32 execution units 8Quad • Tessellation/Geometry total pixels Shaders • Single Core GPU Up to 2 displays Accelerated • 8 Vec4 Shaders 2x 1080p total Vision • Up to 64 GFLOPS pixels Compatibility Pin 8 • 32 execution units 8Dual8Solo • Tessellation/Geometry Shaders • Single Core GPU Up to 2 displays Accelerated • 4 Vec4 Shaders 2x 1080p total Vision • Up to 32 GFLOPS pixels 4 • 16 execution units 8DualLite8Solo • Tessellation/Geometry Shaders 4 PUBLIC USE #NXPFTF i.MX 8 Series – The Doubles GPU Cores • Dual Core GPU Up to 4 displays Accelerated • 16 Vec4 Shaders Vision -
NVIDIA Quadro Technical Specifications
NVIDIA Quadro Technical Specifications NVIDIA Quadro Workstation GPU High-resolution Antialiasing ° Dassault CATIA • Full 128-bit floating point precision • Up to 16x full-scene antialiasing (FSAA), ° ESRI ArcGIS pipeline at resolutions up to 1920 x 1200 ° ICEM Surf • 12-bit subpixel precision • 12-bit subpixel sampling precision ° MSC.Nastran, MSC.Patran • Hardware-accelerated antialiased enhances AA quality ° PTC Pro/ENGINEER Wildfire, points and lines • Rotated-grid FSAA significantly 3Dpaint, CDRS The NVIDIA Quadro® family of In addition to a full line up of 2D and • Hardware OpenGL overlay planes increases color accuracy and visual ° SolidWorks • Hardware-accelerated two-sided quality for edges, while maintaining ° UDS NX Series, I-deas, SolidEdge, professional solutions for workstations 3D workstation graphics solutions, the lighting performance3 Unigraphics, SDRC delivers the fastest application NVIDIA Quadro professional products • Hardware-accelerated clipping planes and many more… Memory performance and the highest quality include a set of specialty solutions that • Third-generation occlusion culling • Digital Content Creation (DCC) graphics. have been architected to meet the • 16 textures per pixel • High-speed memory (up to 512MB Alias Maya, MOTIONBUILDER needs of a wide range of industry • OpenGL quad-buffered stereo (3-pin GDDR3) ° NewTek Lightwave 3D Raw performance and quality are only sync connector) • Advanced lossless compression ° professionals. These specialty Autodesk Media and Entertainment the beginning. The NVIDIA -
Extending the Graphics Pipeline with Adaptive, Multi-Rate Shading
Extending the Graphics Pipeline with Adaptive, Multi-Rate Shading Yong He Yan Gu Kayvon Fatahalian Carnegie Mellon University Abstract compute capability as a primary mechanism for improving the qual- ity of real-time graphics. Simply put, to scale to more advanced Due to complex shaders and high-resolution displays (particularly rendering effects and to high-resolution outputs, future GPUs must on mobile graphics platforms), fragment shading often dominates adopt techniques that perform shading calculations more efficiently the cost of rendering in games. To improve the efficiency of shad- than the brute-force approaches used today. ing on GPUs, we extend the graphics pipeline to natively support techniques that adaptively sample components of the shading func- In this paper, we enable high-quality shading at reduced cost on tion more sparsely than per-pixel rates. We perform an extensive GPUs by extending the graphics pipeline’s fragment shading stage study of the challenges of integrating adaptive, multi-rate shading to natively support techniques that adaptively sample aspects of the into the graphics pipeline, and evaluate two- and three-rate imple- shading function more sparsely than per-pixel rates. Specifically, mentations that we believe are practical evolutions of modern GPU our extensions allow different components of the pipeline’s shad- designs. We design new shading language abstractions that sim- ing function to be evaluated at different screen-space rates and pro- plify development of shaders for this system, and design adaptive vide mechanisms for shader programs to dynamically determine (at techniques that use these mechanisms to reduce the number of in- fine screen granularity) which computations to perform at which structions performed during shading by more than a factor of three rates. -
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! -
Directx and GPU (Nvidia-Centric) History Why
10/12/09 DirectX and GPU (Nvidia-centric) History DirectX 6 DirectX 7! ! DirectX 8! DirectX 9! DirectX 9.0c! Multitexturing! T&L ! SM 1.x! SM 2.0! SM 3.0! DirectX 5! Riva TNT GeForce 256 ! ! GeForce3! GeForceFX! GeForce 6! Riva 128! (NV4) (NV10) (NV20) Cg! (NV30) (NV40) XNA and Programmable Shaders DirectX 2! 1996! 1998! 1999! 2000! 2001! 2002! 2003! 2004! DirectX 10! Prof. Hsien-Hsin Sean Lee SM 4.0! GTX200 NVidia’s Unified Shader Model! Dualx1.4 billion GeForce 8 School of Electrical and Computer 3dfx’s response 3dfx demise ! Transistors first to Voodoo2 (G80) ~1.2GHz Engineering Voodoo chip GeForce 9! Georgia Institute of Technology 2006! 2008! GT 200 2009! ! GT 300! Adapted from David Kirk’s slide Why Programmable Shaders Evolution of Graphics Processing Units • Hardwired pipeline • Pre-GPU – Video controller – Produces limited effects – Dumb frame buffer – Effects look the same • First generation GPU – PCI bus – Gamers want unique look-n-feel – Rasterization done on GPU – Multi-texturing somewhat alleviates this, but not enough – ATI Rage, Nvidia TNT2, 3dfx Voodoo3 (‘96) • Second generation GPU – Less interoperable, less portable – AGP – Include T&L into GPU (D3D 7.0) • Programmable Shaders – Nvidia GeForce 256 (NV10), ATI Radeon 7500, S3 Savage3D (’98) – Vertex Shader • Third generation GPU – Programmable vertex and fragment shaders (D3D 8.0, SM1.0) – Pixel or Fragment Shader – Nvidia GeForce3, ATI Radeon 8500, Microsoft Xbox (’01) – Starting from DX 8.0 (assembly) • Fourth generation GPU – Programmable vertex and fragment shaders