At the core of these systems lie distributed algorithms, which not only coordinate resource management and data replication but also enable consensus, fault tolerance and dynamic scalability.

Crash-recovery: When a process fails it can recover, usually by making use of sort of recovery algorithm. This may involve reading from a database or communicating with other processes.

In this video from the PASC16 conference, Andrew Lumsdaine from Indiana University presents: Context Matters: Distributed Graph Algorithms and Runtime Systems. “The increasing complexity of the ...

In a milestone that brings quantum computing tangibly closer to large-scale practical use, scientists at Oxford University Physics have demonstrated the first instance of distributed quantum ...

Will algorithms designed for interconnected computers hold up if some of the machines are not here on Earth but flying about in space, onboard satellites or spacecraft? Subscribe to our newsletter for ...