Nvidia to Offer Parallel Tech for Mobile Devices

From PC World: Chip vendor Nvidia plans to use its Cuda parallel computing architecture in all its GPUs (graphics processing units), including its Tegra system-on-a-chip for mobile devices.

Nvidia's Cuda is a C language environment that enables developers to write software to solve complex computational problems by tapping into the many-core parallel processing power of GPUs, according to the company.

The first version of Tegra, scheduled to ship by the middle of next year, will not however have Cuda, said Jen-Hsun Huang, cofounder, president and chief executive officer of Nvidia, in an interview on Wednesday.

Cuda is part of Nvidia's strategy to position its GPUs, traditionally strong in high-end graphics and gaming, as general purpose, parallel computing processors, that can be used in a variety of scientific applications and commercial applications such as financial computing, Huang said.

"We believe that a GPU is not just for graphics anymore, and can be really used for anything that involves a lot of data and mathematics," Huang added.

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