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.

Fiber provides a unified Python user interface to its distributed computing framework to support these new requirements.

Anyscale, the startup behind the open source project Ray, today closed a $40 million round to support its first commercial offering, a managed Ray platform.

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 ...

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.

Drabas, T. and Lee D., Learning PySpark, Packt, 2016 White, T., Hadoop: The Definitive Guide, O’Reilly, 4th Edition, 2015 Triguero, I. and Galar, M. Large-Scale Data Analytics with Python and Spark: a ...

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 ...

Anyscale, from the creators of the Ray-distributed computing project, launches with $20.6M led by a16z Ingrid Lunden 6:29 AM PST · December 17, 2019 ...

The difference between distributed computing and concurrent programming is a common area of confusion as there is a significant amount of overlap between the two when you set out to accomplish ...