NVIDIA has revealed the GB300 Blackwell Ultra, a massive step forward in its AI accelerator lineup. This chip builds on the ...

COMP_ENG 368, 468: Programming Massively Parallel Processors with CUDA VIEW ALL COURSE TIMES AND SESSIONS Prerequisites COMP_SCI 213, graduate standing, or consent of instructor Description A hands-on ...

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In this Programming Throwdown podcast, Mark Harris from Nvidia describes Cuda programming for GPUs. "CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic ...

Not every developer who might like to learn CUDA has access to an NVIDIA GPU, so by expanding the hardware that CUDA can target to include x86, you'll be able to get your feet wet with CUDA on ...

In addition, Nvidia announced that more than 20 universities around the world have adopted CUDA for multicore and parallel processing programming, with several more also exploring CUDA for inclusion ...

Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...

As part of the CUDA Toolkit, version 4.1, Nvidia has also released a GPU code optimization tool to visually guide developers through the CUDA programming process.

Now that I've brushed upon what CUDA and stream processing are, let's start looking into a couple compute-intensive algorithms you can use to give it a spin. Vector fields are constructs employed in a ...

NVIDIA today made available the NVIDIA® CUDA® 5 production release, a powerful new version of the world's most pervasive parallel computing platform and programming model for accelerating ...