Nvidia introduced the Cuda development tool in June 2007 to allow scientists to tap into the GPU's power. More than 50,000 users have downloaded the software
By 2012, three of the top five supercomputers in the world will have graphics processors using parallel computing applications to crunch numbers at a clip that's not possible on standard CPU-only set-ups, predicts Nvidia chief scientist David Kirk.
Since other supercomputers are projected to be at several petaflops in speed then the GPGPU enhanced machines must be targeting 5-10 petaflops in performance by 2012.
Evolved machines is using GPGPUs for enhancing neural network and neuron simulation for visual systems and for artificial sense of smell
ATI's Radeon HD 3870 X2, released last month, can hit around 1TFLOPS (one trillion floating-point operations per second). Its 320 stream processors combine for massive parallel computation.
Nvidia could have tighter co-processor coupling between its GPGPUs and apple computers.