Google's new "TF-Replicator" technology is meant to be drop-dead simple distributed computing for AI researchers. A key benefit of the technology can be that it takes dramatically less time to ...

As a result, Python programmers can write the same way they write for conventional computers and don't need to adapt their writing style for in-memory computing.

“Distributed computing is not dying any more than chemistry or mathematics are dying,” he said. Andy Patrizio is a freelance technology journalist based in Orange County, California (not ...

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.

One of the big surprises of the past few years has been the spectacular rise in the use of Python* in high-performance computing applications. With the latest releases of Intel® Distribution for ...

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 ...