Cloud computing is increasingly distributed, which creates a major leap in complexity, driving the need for AI-based automation.

Google's distributed computing for dummies trains ResNet-50 in under half an hour Google's new "TF-Replicator" technology is meant to be drop-dead simple distributed computing for AI researchers.

It is crucial for Python to provide high-performance parallelism. This talk will expose to both data-scientists and library developers the current state of affairs and the recent advances for parallel ...

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

Anyscale, a startup founded by a team out of UC Berkeley that created the Ray open-source Python framework for running distributed computing projects, has raised $40 million.

Is distributed computing dying, or just fading into the background? There seems to be much less excitement about distributed computing these days.

In this video, Jan Meinke and Olav Zimmermann from the Jülich Supercomputing Centre present: High-Performance Computing with Python: Reducing Bottlenecks. This course addresses scientists with a ...

Software for in-memory computing is now being developed. Researchers have successfully developed a conversion layer for Python code that allows existing Python code to function with in-memory ...