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 ...

Back in 2000, Ian Buck and a small computer graphics team at Stanford University were watching the steady evolution of computer graphics processors for gaming and thinking about how such devices could ...

Today marks the official launch of PeakStream, a software start-up that has been operating in stealth mode for over a year now while developing a new type of software platform aimed at making ...

Moving an application to a new processor type or chip vendor means creating an entirely new code base. That extra cost and delay is never welcome – especially today, when organizations face intense ...

The open source Futhark makes it easier to program for GPUs that speed up machine learning and other math-intensive apps Researchers at the University of Copenhagen’s Department of Computer Science ...

As the programmability and performance of modern graphics processing units (GPUs) increase, many application developers are looking to graphics hardware to solve computationally intensive problems ...

Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...

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 ...

Overview: Developers use high-performance languages such as C++ and Rust to build AAA titles and competitive games.Cross-platform engines simplify development b ...