TESLA GPU Computing & CUDA Parallel Programming Architecture: A Revolution in High Performance Computing and VisualizationWritten by Simon Green (external) Simon GreenNVIDIA Corp., USA 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 Abstract(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. [ Back ]
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