Session Description
Title: Get Started with CUDA Training
Track: Technical Conference
Schedule: August 26, 2008 02:00 PM - 04:00 PM
SJCC, Room J1&4

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August 27, 2008 09:00 AM - 11:00 AM
SJCC, Room J3
Learn to program NVIDIA's GPUs using standard C, existing coding tools, and the CUDA extensions. By doing so, you can quickly achieve performance increases for a wide variety of applications in games, film, scientific computing, visualization, image processing, and other compute intensive operations.

Topics covered will include a discussion of the CUDA programming model and how it maps to hardware, the basics of writing and compiling CUDA code, and the optimized CUDA libraries for Fast Fourier Transforms and Basic Linear Algebra Systems. These libraries can be quickly integrated with your C, C++, or Fortran code to give an immediate performance boost to your applications.



Speakers
Brent Oster (NVIDIA)
 
Greg Ruetsch (NVIDIA)
 

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