TensorFlow 0.8 adds distributed computing support to speed up the learning process for Google's machine learning system. Written by Larry Dignan, Contributor April 13, 2016 at 10:00 a.m. PT ...

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 ...

Cloud computing is a new technology which comes from distributed computing, parallel computing, ... This paper is to discuss about two distributed file systems Google File System (GFS) ...

Google originally developed the Google File System in 2003. It is now the basis for Hadoop, an open-source distributed computing environment managed by the Apache Software Foundation that allows ...

FILE PHOTO: The brand logo of Alphabet Inc's Google is seen outside the company's office in Beijing, China, August 8, 2018. Picture taken with a fisheye lens.

This hierarchical computing will be distributed locally and run serial up and down the line, so it is not, in the strict way that we are talking about it, distributed computing across the whole. But ...

Google today announced the launch of version 0.8 of TensorFlow, its open source library for doing the hard computation work that makes machine learning possible.Normally, a small point update like ...