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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 ...

As the name Graphics Processing Unit (GPU) suggests, GPU processors are designed for image and video processing on computers–but they’re also optimized for extremely fast, highly parallel computation ...

Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...

The University of Delaware has been named a GPU Education Center by NVIDIA, a computer technology company that has pioneered GPU-accelerated computing. GPU Education Centers are institutions ...

Nvidia has made improvements to its underlying software tools to make it easier to write programs for faster execution across CPUs and graphics processors. The company on Thursday announced CUDA 6, ...

Apple has launched its latest M5 silicon and it's powering the new MacBook Pro, iPad Pro, and Vision Pro. The M5 chip brings ...

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 ...

In this video, Pranay Reddy Kommera describes his prize-winning poster, “Design of a Distributed Memory, Multi-GPU Implementation of a 2D DG Core.” Two University of Wyoming graduate students earned a ...

If you ever need to manipulate images really fast, or just want to make some pretty fractals, [Reuben] has just what you need. He developed a neat command line tool to send code to a graphics card and ...

GPU stands for graphics processing unit, but these tiny chips can be used for much more than just graphics. Google is using GPUs to model the human brain, and Salesforce leans on them as a way of ...