NVIDIA Tesla Makes Personal SuperComputing A Reality

Reminds me how I did optimization of my simulation to reduce the running hours from ~ 72 hours to ~8 hours during my PhD research.

New hardware rocks and software matters. NVIDIA Tesla Makes Personal SuperComputing A Reality

SC08—AUSTIN, TX—NOVEMBER 18 2008— Today, scientific research is carried out on supercomputing clusters, a shared resource that consumes hundreds of kilowatts of power and costs millions of dollars to build and maintain. As a result, researchers must fight for time on these resources, slowing their work and delaying results. NVIDIA and its worldwide partners today announced the availability of the GPU-based Tesla™ Personal Supercomputer, which delivers the equivalent computing power of a cluster, at 1/100th of the price and in a form factor of a standard desktop workstation.

And I’m looking forward to seeing how CUDA by NVIDIA may accelerate the video trans/encoding process. PowerDirector already supports CUDA, but is “indeed limited to just a handful of video effects available“.


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