A computer science doctoral candidate from Indiana University has come up new programming language that is specifically designed to simplify the development of applications that run on GPUs.

The advent of GPU programmability has seen graphics processors evolve into powerful parallel computing tools, too, capable of carrying multiple instructions simultaneously.

By sending an image to the GPU and performing a few operations, [Reuben] can do very fast edge detection and other algorithmic processing on pre-existing images.

This way, programmers don't have to know anything about graphics programming in order to be able to take advantage of the GPU as a coprocessor.

CUDA 6 is said to “dramatically simplify parallel programming” by offering programmers unified memory access and also to accelerate applications using drop-in libraries and multi-GPU scaling.

A Graphics Processing Unit is a chip that handles any functions relating to what displays on your computer's screen. Every computer today has some form of GPU. A new GPU can speed up your computer ...

The idea is to enable GPU hardware to break out of the graphics niche and into other markets by giving programmers the ability to manipulate the hardware using interfaces that aren't designed ...

Well, now the former of those problems has been fixed (there’s a beta for OSX now), so I expect to see an idle-GPU-using I know not what kind of program, generating random praise for Steve Jobs ...