(PhysOrg.com) -- This week’s NVIDIA announcement of a dressed up version of its CUDA parallel computing platform is targeted as a good news message for engineers, biologists, chemists, physicists, ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

For the past couple of years, graphics chip maker Nvidia’s big strategic thrust has been to make its chips capable of more than just graphics processing. It unveiled its own CUDA processing ...

Quantum-classical computing applications are rapidly evolving, with the CUDA Quantum platform playing an instrumental role in this development. The open-source platform is designed to facilitate the ...

For years, rumors have been circulating that graphics developer Nvidia might start making its own x86-compatible systems—perhaps not for mainstream computers (at first), but for high-end graphics ...

Showcased via a joint presentation at SC24, the application demonstrates the seamless integration of the core workflow behind several hybrid quantum-classical approaches to calculate the specific ...

The cloud rendering company Otoy is claiming to have invented a new software translation layer that would allow Nvidia's CUDA to run on a variety of alternate GPUs, including AMD. Share on Facebook ...

I found good help and advice here last time so I figured I would ask about something else. To reiterate what I do, I do pattern recognition (LDA, to be exact, but a heavily modified version of it).

AMD's announcements at the recent SC15 supercomputing conference in Austin, TX, were as interesting as they were complicated. Granted, it's a supercomputing conference, not a gaming trade show, so the ...