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.

In this video from the 2018 Blue Waters Symposium, Aaron Saxton from NCSA presents a tutorial entitled “Machine Learning with Python: Distributed Training and Data Resources on Blue Waters.” “Blue ...

Nvidia GPUs for data science, analytics, and distributed machine learning using Python with Dask Open source Python library Dask is the key to this. Written by George Anadiotis, Contributor March ...

Ray was devised as a standard to use to implement distributed computing environments, but on its own it’s too technical for the uninitiated to use. “Imagine you’re a biologist,” added ...

Cloud computing is increasingly distributed, which creates a major leap in complexity, driving the need for AI-based automation. Written by eWEEK content and product recommendations are ...

Since 2005 he is at Forschungszentrum Jülich and has been teaching Scientific Python courses since 2011. Olav’s main interests are synergies between machine learning and physics-based simulations, ...

Anyscale, the startup behind the open source project Ray, today closed a $40 million funding round.A company spokesperson says the capital will be put toward growing the ecosystem around Ray and ...

“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 ...

Grid computing and cloud computing are two broad subsets of distributed computing. The basics of concurrent programming. This term typically refers to software code that facilitates the performance of ...