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GPU Computing

For the past 20 years and since the beginning of modern scientific computing, most IT applications have been made using the serial programming method. The arrival of very powerful parallel processors like the GPU (Graphic Processor Unit), puts an end to the domination of this programming method.

Parallelisation on the GPU gives a power/price advantage 10 to 50 times superior to the CPU solution (Central Processor Unit). This allows you to improve the performance of your different computing codes, while taking an ecological stand by reducing your energy consumption.

Red Barn GPU Features

  • Revolutionary CUDA Architecture
  • 960 cores. Massively parallel processing
  • 250x the compute performance of a PC
  • Program in C for Windows or Linux
  • Plugs into standard power strip

 

Awards

HPC Wire 2007 Editor's Choice Aware

Popular Science Best of What's New Award


 
 
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