OpenACC wasn’t designed to be just a GPU programming model. The design team wanted to support both CPUs and a variety of accelerators of different architectures, to ensure that the standard could ...

In theory, the only difference with programming a GPU is that instead of having four, eight, or sixteen threads, the programming model scales to tens of thousands of threads.

Project Babylon would extend the reach of Java to foreign programming models such as machine learning models, GPUs, SQL, and differential programming.

In this video from SC17, Sunita Chandrasekaran from OpenACC.org and Stan Posey from NVIDIA describe how OpenACC eases GPU programming for HPC. OpenACC, a directive-based high-level parallel ...

The PeakStream model will work best on hardware platforms with plenty of bandwidth and a more tightly coupled CPU and GPU combination.

NVIDIA has established itself as the premier AI processing hardware, and its latest chip, the Blackwell Ultra GPU, is being ...

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 ...

Announced at Intel Architecture Day in December 2018, the project aims to revolutionize application development through a u nified, open development model to simplify programming across processors.

“Accordingly, a GPU programming model that spreads sections of work on different threads is often inefficient because the parallelism is difficult to distribute across multiple different working ...