Linked by Amjith Ramanujam on Wed 19th Nov 2008 22:07 UTC, submitted by caffeine deprived
Nvidia and partners are offering new "personal supercomputers" for under $10,000. Nvidia, working with several partners, has developed the Tesla Personal Supercomputer, powered by a graphics processing unit based on Nvidia's Cuda parallel computing architecture. Computers using the Tesla C1060 GPU processor will have 250 times the processing power of a typical PC workstation, enabling researchers to run complicated simulations, experiments and number crunching without sharing a supercomputing cluster.
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Member since:
2008-11-19
Cuda is much like C actually, and very easy to handle imo. The truly hard part is designing your algorithms to use the heavily distributed computational power, and memory access/control can be tricky (but that's true anything heh ^_^). You also cannot use device functions from the device, which effectively disable all recursive programming and a handful of usual algorithms.
Matlab has plugins for it too iirc, and it's so easy to set up, one shouldn't deprive himself of such resources 
But honestly the benefits are so great on some applications it's almost crazy. Check it out, almost everybody has a Geforce 8+ somewhere and Cuda is available on both Linux and Windows