Daniel Pankiller

From supercomputing applications to
financial modeling, graphics chips are
being deployed for a number of
research and development activities.

Graphics chips are great when it comes
to crunching repetitive computational
tasks, which is a reason why they are
making it to diverse applications
beyond gaming. This is in comparison
to desktop processors, which are made
to perform general applications.

The larger number of cores in graphics
chips makes them ideal candidates for
research focused on obtaining results
for various permutations of data for
the same models.

Few excerpts from the article at BBC:

Professor Susan Hagness from the
Department of Electrical and Computer
Engineering at the University of
Wisconsin-Madison has turned to
graphics cards to quickly analyse
breast scans to spot cancer in its
early stages.

The financial models that Prof Giles
is running test the same algorithm on
each core but each one gets different
random numbers as input.

PhD student Tobias Brandvik and Dr
Graham Pullan in the Whittle
Laboratory at the University of
Cambridge engineering department and
sped up simulations of turbine blade
designs by 40 times by using a few
graphics cards.

Perhaps it is with this developing
segment in mind that AMD has its focus
settled on delivering graphics
solutions tightly integrated with its
platforms. Don’t forget that it also
owns ATI, a leading graphics chipset
maker.

This entry was posted on Sunday, December 9th, 2007 at 10:50 pm and is filed under Uncategorized. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.