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GPU Computing 2.0 is upon us. Today at the NVIDIA GPU Technology Conference in San Jose, Calif., company CEO Jen-Hsun Huang unveiled a seriously revamped graphics processor architecture representing the biggest step forward for general-purpose GPU computing since the introduction of CUDA in 2006. The stated goal behind the new architecture is two-fold: to significantly boost GPU computing performance and to expand the application range of the graphics processor.

The new architecture, codenamed "Fermi," incorporates a number of new features aimed at technical computing, including support for Error Correcting Code (ECC) memory and greatly enhanced double precision (DP) floating point performance. Those additions remove the two major limitations of current GPU architectures for the high performance computing realm, and position the new GPU as a true general-purpose floating point accelerator.

Source: http://www.hpcwire.com/features/NVIDIA-Takes-GPU-Computing-to-the-Next-Level-62800147.html