TESLA GPU Computing & CUDA Parallel Programming Architecture: A Revolution in High Performance Computing and Visualization

Written by Simon Green (external)

Simon Green


Invited talk in English, part of the VIRTUAL project
WSCG 2009
February 4, 2009
University of West Bohemia

the talk starts at 10:30 in the room UP 108
following workshop starts at 13:00 in the room UP 101


(download in PDF)

With the world's first teraflop many-core processor, NVIDIA? Tesla computing solutions enable the necessary transition to energy efficient parallel computing power. With 240 cores per processor and a standard C compiler that simplifies application development, Tesla scales to solve the world's most important computing challenges-more quickly and accurately. This talk will introduce CUDA and show how it enables developers to utilize NVIDIA GPUs to solve the most complex computation-intensive challenges such as protein docking, molecular dynamics, financial analysis, fluid dynamics, structural analysis and many others.

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