GPUS

Today's GPUs provide up to 10 times the computing power of CPUs, a clear trend in GPU processing power compared to CPU over recent years.

It is part of a new breed that exploits graphics chips, or GPUs, more commonly used in videogames, and standard microprocessors.

Now with the help of the GPUs' powerful geometric computing ability, the performance of a virtual reality system can boost a lot.

Newer GPUs can reprocess the scene multiple times to approximate indirect lighting.

Modern GPUs make it feasible to generate real-time graphics with high quality.

Tianhe-1A was built with a helping hand from American technology; its processors are Nvidia's Tesla GPUs.

Not surprisingly, it's also an area where graphics processor units (GPUs) provide useful assists for rendering.

In many cases, GPUs are more powerful than the central processing units (CPUs) they assist.

A possible use of these GPUs could be as a backup.

The visualizers are intended for applications with extremely high numbers of parallel threads, especially those on GPUs.

Accelerator V2 offers API for executing parallel instructions on multi-core GPUs and also multi-core processors.

GPUs now come with circuitry that can do that work much more efficiently at lower power consumption than microprocessors.

That is because GPUs are well suited to the types of calculations involved when simulating protein folding.