Nvidia Releases OpenCL Driver

For the uninitiated, OpenCL stands for Open Computing Language, and is defined as a framework for writing programs that execute across platforms of structural variations and multiple parts including CPUs, GPUs, and all other processors (heterogeneous). OpenCL is ideal because it can allow application to execute on an immeasurable number of PC configurations (cross platforming), possibly addressing the problems that many programs face today through various patches.

On Monday, Nvidia released its OpenCL driver and software development kit (SDK), however only through its OpenCL Early Access Program. Nvidia found it necessary for this early release in order to receive feedback from the EAP participants before the release of the beta (to all GPU Computing Registered Developers) within the next few months. According to the company, the OpenCL driver will run on the CUDA architecture, enabling the driver to take advantage of Nvidia's GPU parallel computing.

"At the core of Nvidia’s GPU Computing strategy is the massively parallel CUDA architecture that Nvidia pioneered and has been shipping since 2006," stated the company in a press release. "Accessible today through familiar industry standard programming environments such as C, Java, Fortran and Python, the CUDA architecture supports all manner of computational interfaces and, as such, is a perfect complement to OpenCL. Enabled on over 100 million Nvidia GPUs, the CUDA architecture is enabling developers to innovate with the GPU and unleash never before seen performance across a wide range of applications."

The company said it would be beta-testing OpenCL with developers throughout the year. However, to get an early sample, interested readers may want to check out this YouTube video of the OpenGL demonstration--running on Nvidia's Quadro FX 570M GPU--during a speech at Siggraph Asia 2008. While the clip would make an excellent screensaver (one viewer even made that comment), the demo shows the "flexibility" of OpenCL, allowing the end-user to change settings--including cluster scale and velocity damping--on the fly. Additionally, this YouTube video displays AMD's demonstration, displaying cool effects that turned a hand-drawn AMD logo into a colorful explosion of fireworks and energy rays.

Kevin Parrish
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Kevin Parrish has over a decade of experience as a writer, editor, and product tester. His work focused on computer hardware, networking equipment, smartphones, tablets, gaming consoles, and other internet-connected devices. His work has appeared in Tom's Hardware, Tom's Guide, Maximum PC, Digital Trends, Android Authority, How-To Geek, Lifewire, and others.