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 ...

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 ...

Where we are today is not hybrid cloud rebranded. Hybrid was a transition strategy. Distributed is an entirely new operating environment, where cloud infrastructure and services are physically located ...