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

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

At its most basic level, Compute Unified Architecture (CUDA) allows general-purpose processing and other tasks to run on NVIDIA GPUs with extensive language support. Since its inception, CUDA has been ...