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 ...

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

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 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 ...

Some other learning tools for GPU programming we’ve seen in the past include this puzzle-based tool which illustrates some of the specific problems GPUs excel at.

“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 ...

In all these models, however, while the data management problem is abstracted into the programming model in a way that makes it easier or more natural, it is still necessary for the programmer to be ...

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.

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