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 ...

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 ...

The answer is GPU, which stands for “Graphics Processing Unit.” It is a kind of specialized hardware designed to deliver massive computational power. Through GPUs, we are able to power ChatGPT, build ...

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 ...

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 ...

As I mentioned in a post here several weeks ago, I was struck by the diversity of vendors and partners exhibiting technology based on NVIDIA’s GPUs at ISC last month in Germany. At least 19 companies ...