Many hands make light work, or so they say. So do many cores, many threads and many data points when addressed by a single computing instruction. Parallel programming – writing code that breaks down ...

AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...

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 ...

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 ...

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. Java would be extended to foreign programming ...

Moving an application to a new processor type or chip vendor means creating an entirely new code base. That extra cost and delay is never welcome – especially today, when organizations face intense ...

Together Computer Inc., a startup building a cloud service optimized for artificial intelligence model development and ...

AMD’s next-gen graphics cards could adopt a new architecture leveraging a chiplet design, using a strategy that the company had implemented with its Ryzen processors. According to a patent filing with ...