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  1. SIGGRAPH Asia 2013 Courses (SA '13)
  2. GPU compute for graphics
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Structure-aware shape processing
Mathematical description of motion and deformation: from basics to graphics applications
Basic concepts of physically-based rendering
Metagraphics: impact papers from SIGGRAPH/TOG and their interconnections
Story content: it's not just for writers... anymore
Recent advances in image deblurring
GPU-based large-scale visualization
Cross-cultural user-experience design
GPU compute for graphics
OpenGL and DirectX
Interactive virtual characters
Mobile user-experience design trends
Computational manga and anime
Surface- and volume-based techniques for shape modeling and analysis
State of the art in photon density estimation
Computing with matter
Creating new interfaces for musical expression

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Compute for graphics

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GPU compute for graphics ( SA '13 )

Content Provider ACM Digital Library
Author Hillesland, Karl
Abstract Modern GPUs support more flexible programming models through systems such as DirectCompute, OpenGL compute, OpenCL, and CUDA. Although much has been made of GPGPU programming, this course focuses on the application of compute on GPUs for graphics in particular. We will start with a brief overview of the underlying GPU architectures for compute. We will then discuss how the languages are constructed to help take advantage of these architectures and what the differences are. Since the focus is on application to graphics, we will discuss interoperability with graphics APIs and performance implications. We will also address issues related to choosing between compute and other programmable graphics stages such as pixel or fragment shaders, as well as how to interact with these other graphics pipeline stages. Finally, we will discuss instances where compute has been used specifically for graphics. The attendee will leave the course with a basic understanding of where they can make use of compute to accelerate or extend graphics applications.
Starting Page 1
Ending Page 123
Page Count 123
File Format PDF
ISBN 9781450326315
DOI 10.1145/2542266.2542275
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-11-19
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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