'Fragment program' presentation slideshows

Interactive Ray Tracing: From bad joke to old news

Interactive Ray Tracing: From bad joke to old news. David Luebke University of Virginia. Besides Parallelization. Besides parallelizing the algorithm, what else can we do to accelerate ray tracing? Amortize the cost of shooting rays Use ray tracing selectively. Amortize the cost of rays.

616 views • 44 slides

CSE 690: GPGPU Lecture 6: Cg Tutorial

CSE 690: GPGPU Lecture 6: Cg Tutorial. Klaus Mueller Computer Science, Stony Brook University. GPU Generations. For the labs, 4th generation is desirable. Graphics Hardware Pipeline. Vertex Stage. Vertex values: position, color, texture coordinate(s), normal vector

420 views • 36 slides

Mathew Alvino, Travis McBee, Heather Nelson, Todd Sullivan

GPGPU: GPU Processing of Protein Structure Comparisons. Mathew Alvino, Travis McBee, Heather Nelson, Todd Sullivan. The Protein Folding Problem. Proteins are the essential building blocks of life Fold into complicated 3D structures Structure often determines function

458 views • 36 slides

CSE 690: GPGPU Lecture 6: Cg Tutorial

CSE 690: GPGPU Lecture 6: Cg Tutorial. Klaus Mueller Computer Science, Stony Brook University. GPU Generations. For the labs, 4th generation is desirable. Graphics Hardware Pipeline. Vertex Stage. Vertex values: position, color, texture coordinate(s), normal vector

436 views • 36 slides

ARB Fragment Program

ARB Fragment Program. Fragment level programmability in OpenGL Evan Hart ehart@ati.com. Plan of Action. What is it How does it work What is it good for. Introduction to ARB FP. New standardized programming model What it replaces What it does not replace.

462 views • 35 slides

ARB Fragment Program

ARB Fragment Program. Fragment level programmability in OpenGL Evan Hart ehart@ati.com. Plan of Action. What is it How does it work What is it good for. Introduction to ARB FP. New standardized programming model What it replaces What it does not replace.

366 views • 35 slides

Data Parallel Computing on Graphics Hardware

Data Parallel Computing on Graphics Hardware. Ian Buck Stanford University. Brook General purpose Streaming language. DARPA Polymorphous Computing Architectures Stanford - Smart Memories UT Austin - TRIPS Processor MIT - RAW Processor Stanford Streaming Supercomputer

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Cg ShadingTutorial (Open GL)

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Cg ShadingTutorial (Open GL)

328 views • 27 slides

The importance of locality in the visualization of large datasets

The importance of locality in the visualization of large datasets. John Brooke 1 , James Marsh 1 , Steve Pettipher 1 , Lakshmi Sastry 2 1 The University of Manchester 2 CLRC Rutherford Appleton Laboratory. http://www.man.ac.uk http://www.clrc.ac.uk.

362 views • 25 slides

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Automatic Tuning Matrix Multiplication Performance on Graphics Hardware

Automatic Tuning Matrix Multiplication Performance on Graphics Hardware. Changhao Jiang (cjiang@cs.uiuc.edu) Marc Snir (snir@cs.uiuc.edu) University of Illinois Urbana Champaign. GPU becomes more powerful. NVIDIA GeForceFX 7800. 3.0 GHz dual-core Pentium4.

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Per-Pixel Evaluation of Parametric Surfaces on GPU

Per-Pixel Evaluation of Parametric Surfaces on GPU. Takashi Kanai. Yusuke Yasui. Keio University SFC. ASTOM Inc. ACM Workshop on General Purpose Computing on Graphics Processors Los Angeles, USA, 7-8 August, 2004. Per-Pixel Evaluation of Parametric Surfaces on GPU. Takashi Kanai.

264 views • 16 slides

ARB Fragment Program in GPULib

ARB Fragment Program in GPULib. Summary. Fragment program arquitecture New instructions. Emulating instructions not supported directly New Required GL State Compiler status. Fragment program architecture. What fragment programs bypass: Replaces multitexturing pipe:

347 views • 16 slides

Summed Area Tables using Graphics Hardware

Summed Area Tables using Graphics Hardware. Simon Green, NVIDIA. What are Summed Area Tables (SATs)?. Pre-integrated texture representation Invented by Frank Crow, 1984 Each texel is the sum of all texels below and to the left of it

189 views • 13 slides

CS662 Computer Graphics Game Technologies

CS662 Computer Graphics Game Technologies. Jim X. Chen, Ph.D. Computer Science Department George Mason University. Contents. Tentative Alan Watt and Fabio Policarpo, Advanced Game Development with Programmable Graphics Hardware Games we are interested in implementing Technical approaches

87 views • 8 slides