[Engadget] Engadget Primed: The crazy science of GPU compute

As you're hopefully aware, this is a gadget blog. As a result, we're innately biased towards stuff that's new and preferably fandangled. More cores, more pixels, more lenses; just give it here and make us happy. The risk of this type of technological greed is that we don't make full use of what we already have, and nothing illustrates that better than the Graphics Processing Unit. Whether it sits in our desktops, laptops, tablets or phones, the GPU is cruelly limited by its history -- its long-established reputation as a dumb, muscular component that takes instructions from the main processor and translates them into pixels for us to gawp at.

But what if the GPUs in our devices had some buried genius -- abilities that, if only we could tap into them, would yield hyper-realistic experiences and better all-round performance from affordable hardware? Well, the thing is, this hidden potential actually exists. We've been covering it since at least 2008 and, even though it still hasn't generated enough fuss to become truly famous, the semiconductor industry is making more noise about it now than ever before.

So please, join us after the break as we endeavor to explain why the trend known as "GPU compute," aka "general purpose GPU (GPGPU)," or simply "not patronizing your graphics processor," is still exciting despite having let us down in the past. We'll try to show why it's worth learning a few related concepts and terms to help provide a glossary for future coverage; and why, on the whole, your graphics chip is less Hasselhoff and more Hoffman than you may have imagined.