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

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.

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.

Aaron Saxton from NCSA gave this talk at the Blue Waters Symposium. "Blue Waters currently supports TensorFlow 1.3, PyTorch 0.3.0 and we hope to support CNTK and Horovod in the near future. This ...

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.

So what’s the difference? At a fundamental level, distributed computing and concurrent programming are simply descriptive terms that refer to ways of getting work done at runtime (as is parallel ...

Distributed Computing is a concept which denotes the practice of utilising an interconnected network of systems to provide their combined power to remote users – but how is blockchain ...

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 ...