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 ...

There are few people as visible in high performance computing programming circles as Michael Wolfe—and fewer still with level of experience. With 20 years working on PGI compilers and another 20 years ...

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 ...

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 ...

The modern GPU is more than a graphics device. Technologies such as the open-standard OpenCL and Nvidia’s CUDA turn the many small processors in a GPU into a parallel computing fabric, allowing ...

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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 ...

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 ...

C++ programming language: How it became the invisible foundation for everything, and what’s next Your email has been sent Powerful, flexible, complex: The origins of C++ date back 40 years, yet it ...