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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 ...

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 ...

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 ...

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 ...

For the GPU programming model, the project would create a separate repository dependent on code reflection features as they are developed. There currently is no plan to deliver the GPU programming ...

A program written to PeakStream's APIs can be compiled once and run on a variety of multiprocessing platforms, including multicore x86 processors, CPU + GPU combinations, and eventually even IBM's ...

AMD's secret GPU weapon with RDNA 3 is chiplets. Adopting a design used on Ryzen processors, future graphics cards could benefit from big performance uplifts.