NVIDIA’s rise from graphics card specialist to the most closely watched company in artificial intelligence rests on a ...

CUDA is a parallel computing programming model for Nvidia GPUs. With the proliferation over the past decade of GPU usage for speeding up applications across HPC, AI and beyond, the ready availability ...

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 ...

In this video from SC17 in Denver, Doug Miles from NVIDIA presents: Accelerating HPC Programmer Productivity with OpenACC and CUDA Unified Memory. “CUDA Unified Memory for NVIDIA Tesla GPUs offers ...

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 ...

NVIDIA has announced that it is porting its popular GPU programming architecture to x86. Once the port is complete, developers will be able to choose from two different architectures—OpenCL and ...

The CUDA programming model, which is based on an extended ANSI C language and a runtime environment, allows the programmer to specify explicitly data parallel computation. NVIDIA developed CUDA to ...

Never underestimate the passion of a programmer and true geek at heart. That's the lesson to take away from today's story of little Julia, a 12-year-old girl who plays on her school's basketball and ...

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 ...

Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...