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Last Updated: 10/05/2011
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Video used in lecture: Reading:- Why is Graphics Hardware so Fast by Pat Hanrahan
- The Graphics Card As A Stream Computer by Suresh Venkatasubramanian.
Assignment 0: Fill out the in-class survey
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Reading:- Beyond Programmable Shading Retrospective by Mike Houston
- GPU Architecture: Implications and Trend by David Luebke
- Fast Computation of Generalized Voronoi Diagrams using graphics hardware (Hoff, Culver, Keyser, Lin, Manocha). SIGGRAPH 99. This page also has downloadable code.
- Programming Graphics Hardware (Eurographics 2004 Tutorial): Fernando, Harris, Wloka and Zeller.
- Interactive Multipass Programmable Shading (Peercy, Olano, Airey and Ungar). SIGGRAPH 2000.
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Reading:- OpenGL: What's Coming Down the Graphics Pipeline by Bill Licea-Kane, Dave Shreiner, Evan Hart, and Ed Angel
- Visit the GPGPU.org forums for a wealth of information on GLSL hacking.
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Reading:- Song Ho Ahn's OpenGL Tutorials: Overview, Rendering Pipeline, VBO, PBO, and FBO tutorials.
- Using Vertex Buffer Objects - NVIDIA Whitepaper
Assignment 1: GLSL Shader Programming. Handout out!
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Reading:- Image Manipulation by Mike Bailey.
- Efficient Multifragment Effects on Graphics Processing Units by Louis Bavoil. Sections 2.3-2.4 and Chapter 3.
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Reading:
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Reading:
- Fast Texture Transfers - NVIDIA Whitepaper
- Deferred Shading in Tabula Rasa by Rusty Koonce in GPU Gems 3
- Screen Space Ambient Occlusion (Survey) by Nick Porcino
- screen space ambient occlusion (with code) by I?igo Qu?lez
- Finding Next Gen ? CryEngine 2 (8.5.4.3) by Martin Mittring
- Fast matrix multiplies using graphics hardware by Larsen and McAllister (SC 2001)
- Dense Matrix Multiplication by Adam Moravanszky
- Cache and Bandwidth Aware Matrix Multiplication on the GPU by Hall, Carr and Hart (Tech Report UIUCDCS-R-2003-2328-1)
- Understanding the Efficiency of GPU Algorithms for Matrix-Matrix Multiplication by Fatahalian, Sugerman, Hanrahan (Graphics Hardware 2004)
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Reading:
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Reading:
- From Shader Code to a Teraflop: How GPU Shader Cores Work by Kayvon Fatahalian
- A Closer Look at GPUs by Kayvon Fatahalian and Mike Houston
- Slides and Podcasts, UIUC COURSE: Programming Massively Parallel Processors by Wen-Mei Hwu and David Kirk. (Lecture: Lecture 8 : CUDA Threading Hardware , Lecture 9 - CUDA Memory Hardware)
- Introduction to CUDA - Mark Harris (SIGGRAPH 2007)
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Wednesday 10/12: Spatial Data Structures - Jon McCaffrey Slides: Spatial | Assignment 2 Overview
- GPU Accelerated Uniform Grid Construction for Ray Tracing Dynamic Scenes
- A Parallel Algorithm for Construction of Uniform Grids
- Fast BVH Construciton on GPUs
- Real-Time KD-Tree Construction on Graphics Hardware
Reading:- Slides referenced in class: Optimizing Parallel Reduction in CUDA
- A Toolkit for Computation on GPUs by Ian Buck and Tim Purcell in GPU Gems
- Parallel Prefix Sum (Scan) with CUDA by Mark Harris, Shubhabrata Sengupta, and John Owens in GPU Gems 3
Wednesday 10/19: CUDA Performance Considerations (1 of 2) PDFReading:- Performance Consideration by David Kirk and Wen-mei Hwu
- Control Flow in CUDA by David Kirk and Wen-mei Hwu
Monday 11/07: Final Project Checkpoint Presentations
Wednesday 11/09: Guest Lecture: GPU Search - (Tim Kaldewey - IBM Research)
Monday 11/14: Cory (M-Trees) + Igor (Ray Tracing / GI)
Wednesday 11/16: Malu (Conjgrad on GPU + Chun Fu (Deffered Shading)
Monday 11/21: Eric (Mobile Devices) + Robin (Fluids)
Wednesday 11/23: Yuhua (CT Data Visualization) + Nicolae (Computer Vision)
Monday 11/28: Zubeen (Path Planning) + Gabriel (Physics)
Wednesday 11/30: OPEN