Napalm Riot

More universities should provide courses on programming for massively parallel computing, and more graphics processor providers should look at enabling the use of the Compute Unified Device Architecture (Cuda) programming language on their devices, according to David Kirk, chief scientist at Nvidia Corp. (Santa Clara, Calif.).

Nvidia developed Cuda to run on its own GPUs and has found considerable traction for the language in applying those GPUs to applications for financial and other multivariant analyses. Indeed, some observers have argued that Cuda is starting to influence academic debates over parallel-processing languages and hardware architectures.

"Massively parallel computing is an enormous change, and it will create drastic reductions in time-to-discovery in science because computational experimentation is a third paradigm of research, alongside theory and traditional experimentation. If you can make one of these paradigms much faster, it will have a tremendous impact," Kirk said during a lecture for an invited audience last month at Imperial College London.

(Continuation Source: http://www.eetimes.com/ne…jhtml?articleID=207403647)