AMD, Intel, and startups like Spectral Compute line up to reduce hardware lock-in and snatch chip giant's computing crown ...

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

Classes have already begun at CUDA U, a new section on the CUDA Zone Web site where users can find instructional material, syllabuses and curricula, and information on schools and programs that offer ...

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 ...

The tech giant just made a move it hasn’t made in 20 years. Nvidia released one of its biggest updates in nearly 20 years. Key changes make GPUs easier to program, more efficient, and harder for ...

Nvidia has released a public beta of CUDA 1.1, an update to the company's C-compiler and SDK for developing multi-core and parallel processing applications on GPUs, specifically Nvidia's 8-series GPUs ...

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 ...

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 ...

Programmers have been interested in leveraging the highly parallel processing power of video cards to speed up applications that are not graphic in nature for a long time. Here, I explain how to do ...