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 ...

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

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 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 ...

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 ...

Nvidia Corporation's revenue and net income skyrocketed in fiscal year 2024, driven by their transition from a video game company to an AI company. CUDA, Nvidia's programming interface, gives them 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 ...

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 ...

Over at the Nvidia blog, Mark Harris has posted a simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA. I wrote a previous “Easy Introduction” to CUDA ...

After years of false starts and delays with various products, we are finally at a point where Intel will truly start to test the breadth of its heterogenous computing strategy, thanks to the release ...