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Tutorial 3: GPGPU: General Purpose Computation on Graphics Processors
Organizer: Aaron Lefohn, University of California, Davis
Speakers: Ian Buck, Stanford University; John Owens, University of California, Davis; Robert Strzodka Caesar Institute, Bonn, Germany
In the last three years, commodity graphics processors (GPUs) have evolved
from fixed-function graphics units into powerful data-parallel processors.
These streaming processors are capable of sustaining computation rates of
greater than ten times that of a single CPU. Researchers in the evolving
field of general-purpose computation on graphics processors (GPGPU) have
demonstrated mappings to these processors for a wide range of
computationally intensive tasks. Examples include ray tracing, molecular
dynamics, and surface processing. This tutorial provides a detailed
introduction and overview of the GPGPU field to the visualization
community. Attendees will gain an understanding of modern GPU
architecture, the GPGPU programming model, and the techniques and tools
required to apply GPUs to their own applications.
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