In this video from 2018 Swiss HPC Conference, Torsten Hoefler from (ETH) Zürich presents: Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis. “Deep Neural Networks ...
The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...
Many organizations in the healthcare and life sciences industries are just now exploring the opportunities surrounding the dominant entries in the distributed processing architectures, Hadoop and ...
An integrated intent-driven verification and distributed monitoring framework strengthens network infrastructure security by uniting real-time traffic analysis, machine learning–based threat detection ...
Client/Server distribution and the nature of the client (end user device) itself are important factors in understanding distributed architecture. If the client just features a UI, the server is doing ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback