Scientific and Enterprise computing that are CPU intensive is not going to be same anymore. GPU architectures are making those large G/T/P FLOP systems faster, greener and smaller, also cheaper.
More and more applications are getting accelerated with CUDA. Among good examples are – CFD solvers running at 1/20 of resource for a given iteration; HMMER running at 62x time faster; Monte Carlo Simulations running up to 50x time faster.
The GPU architectures from CUDA and FireStream have already made it toTop500 list sometime ago which has been a milestone and is fast moving up the charts, I am sure the 35th list of Top500 is going have much more of GPU+CPU. It is only matter of time that desktops would be replaced with supercomputers. The GPU’s help offloading non-sequential parts of application from the CPU and achieves performance of nature described before.
More interesting to watch is if CUDA is really breaking the dominance of Intel and AMD? And if more and more developers will optimize applications with OpenCL or DirectX for CUDA? What will even happen to ClearSpeed?