A fixed-function NVIDIA GeForce graphics pipeline.

Slides:



Advertisements
Similar presentations
Appendix A — 1 FIGURE A.2.2 Contemporary PCs with Intel and AMD CPUs. See Chapter 6 for an explanation of the components and interconnects in this figure.
Advertisements

CS5500 Computer Graphics © Chun-Fa Chang, Spring 2007 CS5500 Computer Graphics April 19, 2007.
Control Flow Virtualization for General-Purpose Computation on Graphics Hardware Ghulam Lashari Ondrej Lhotak University of Waterloo.
© David Kirk/NVIDIA and Wen-mei W. Hwu, ECE408, University of Illinois, Urbana-Champaign 1 Programming Massively Parallel Processors Chapter.
Pixel Shader Vertex Shader The Real-time Graphics Pipeline Input Assembler Rasterizer Output Merger.
Evolution of the Programmable Graphics Pipeline Patrick Cozzi University of Pennsylvania CIS Spring 2011.
Introduction What is GPU? It is a processor optimized for 2D/3D graphics, video, visual computing, and display. It is highly parallel, highly multithreaded.
GPU Graphics Processing Unit. Graphics Pipeline Scene Transformations Lighting & Shading ViewingTransformations Rasterization GPUs evolved as hardware.
Under the Hood: 3D Pipeline. Motherboard & Chipset PCI Express x16.
Introduction to CUDA (1 of 2) Patrick Cozzi University of Pennsylvania CIS Spring 2012.
FIGURE 11.1 Mapping between OpenCL and CUDA data parallelism model concepts. KIRK CH:11 “Programming Massively Parallel Processors: A Hands-on Approach.
Accelerated Stereoscopic Rendering using GPU François de Sorbier - Université Paris-Est France February 2008 WSCG'2008.
© David Kirk/NVIDIA and Wen-mei W. Hwu, ECE408, University of Illinois, Urbana-Champaign 1 Programming Massively Parallel Processors Lecture.
Many of the figures from this book may be reproduced free of charge in scholarly articles, proceedings, and presentations, provided only that the following.
© David Kirk/NVIDIA and Wen-mei W. Hwu, ECE408, University of Illinois, Urbana-Champaign 1 GPU.
Appendix C Graphics and Computing GPUs
Emergence of GPU systems for general purpose high performance computing ITCS 4145/5145 July 12, 2012 © Barry Wilkinson CUDAIntro.ppt.
GPU Architecture and Its Application
Introduction to Computer Graphics
Graphics on GPU © David Kirk/NVIDIA and Wen-mei W. Hwu,
Graphics Processing Unit
CSC 2231: Parallel Computer Architecture and Programming GPUs
Modeling Constraints with Parametrics
Graphics Processing Unit
Copyright © 2016 Elsevier Inc. All rights reserved.
Programming Massively Parallel Processors Lecture Slides for Chapter 9: Application Case Study – Electrostatic Potential Calculation © David Kirk/NVIDIA.
Copyright © 2012, Elsevier Inc. All rights Reserved.
CS5500 Computer Graphics April 17, 2006 CS5500 Computer Graphics
Chapter 11.
Copyright © 2013 Elsevier Inc. All rights reserved.
Copyright © 2012, Elsevier Inc. All rights Reserved.
Copyright © 2013 Elsevier Inc. All rights reserved.
Copyright © 2012, Elsevier Inc. All rights Reserved.
Chapter 10.
Copyright © 2014, 2000, 1992 Elsevier Inc. All rights reserved.
Copyright © 2012, Elsevier Inc. All rights Reserved.
© 2012 Elsevier, Inc. All rights reserved.
Copyright © 2013 Elsevier Inc. All rights reserved.
Copyright © 2013 Elsevier Inc. All rights reserved.
Copyright © 2013 Elsevier Inc. All rights reserved.
Graphics Processing Unit
Portable Biotechnology
© 2012 Elsevier, Inc. All rights reserved.
Modeling Text-Based Requirements and their Relationship to Design
Modeling Functionality with Use Cases
Copyright © 2012, Elsevier Inc. All rights Reserved.
Copyright © 2013 Elsevier Inc. All rights reserved.
Copyright © 2013 Elsevier Inc. All rights reserved.
Chapter 12.
Chapter 6.
Forms.
Copyright © 2012, Elsevier Inc. All rights Reserved.
© 2012 Elsevier, Inc. All rights reserved.
Chapter 01.
Copyright © 2013 Elsevier Inc. All rights reserved.
Copyright © 2013 Elsevier Inc. All rights reserved.
Chapter 08.
Chapter 64 - Renal Calcium Metabolism
© 2015 Elsevier, Inc. All rights reserved.
Copyright © 2013 Elsevier Inc. All rights reserved.
Copyright © 2013 Elsevier Inc. All rights reserved.
Copyright © 2012, Elsevier Inc. All rights Reserved.
Chapter 15 Contraception
Copyright © 2013 Elsevier Inc. All rights reserved.
Chapter 15.
Chapter 20 Assisted Reproductive Technologies
Chapter 3.
© 2015 Elsevier, Inc. All rights reserved.
CIS 6930: Chip Multiprocessor: GPU Architecture and Programming
(non-Cartesian) trajectory with linear-solver-based reconstruction.
Presentation transcript:

A fixed-function NVIDIA GeForce graphics pipeline. KIRK CH:02 FIGURE 2.1 A fixed-function NVIDIA GeForce graphics pipeline. “Programming Massively Parallel Processors: A Hands-on Approach. DOI: 10.1016/B978-0-12-381472-2.00009-X © 2010 David B. Kirk/NVIDIA Corporation and Wen-mei Hwu. Published by Elsevier Inc. All rights of reproduction in any form reserved.”

KIRK CH:02 FIGURE 2.2 Texture mapping example: painting a world map texture image onto a globe object. “Programming Massively Parallel Processors: A Hands-on Approach. DOI: 10.1016/B978-0-12-381472-2.00009-X © 2010 David B. Kirk/NVIDIA Corporation and Wen-mei Hwu. Published by Elsevier Inc. All rights of reproduction in any form reserved.”

Example of antialiasing operations. KIRK CH:02 FIGURE 2.3 Example of antialiasing operations. “Programming Massively Parallel Processors: A Hands-on Approach. DOI: 10.1016/B978-0-12-381472-2.00009-X © 2010 David B. Kirk/NVIDIA Corporation and Wen-mei Hwu. Published by Elsevier Inc. All rights of reproduction in any form reserved.”

KIRK CH:02 FIGURE 2.4 Example of a separate vertex processor and fragment processor in a programmable graphics pipeline. “Programming Massively Parallel Processors: A Hands-on Approach. DOI: 10.1016/B978-0-12-381472-2.00009-X © 2010 David B. Kirk/NVIDIA Corporation and Wen-mei Hwu. Published by Elsevier Inc. All rights of reproduction in any form reserved.”

KIRK CH:02 FIGURE 2.5 Unified programmable processor array of the GeForce 8800 GTX graphics pipeline. “Programming Massively Parallel Processors: A Hands-on Approach. DOI: 10.1016/B978-0-12-381472-2.00009-X © 2010 David B. Kirk/NVIDIA Corporation and Wen-mei Hwu. Published by Elsevier Inc. All rights of reproduction in any form reserved.”

KIRK CH:02 FIGURE 2.6 The restricted input and output capabilities of a shader programming model. “Programming Massively Parallel Processors: A Hands-on Approach. DOI: 10.1016/B978-0-12-381472-2.00009-X © 2010 David B. Kirk/NVIDIA Corporation and Wen-mei Hwu. Published by Elsevier Inc. All rights of reproduction in any form reserved.”