Data-parallel computing frameworks (DCF) such as MapReduce, Spark, and Dryad etc. Have tremendous applications in big data and cloud computing, and throw tons of flows into data center networks. In ...

But the benefits extend beyond performance and flexibility. With data centers consuming an estimated 4% of electricity ...

For years, cloud computing was synonymous with centralization. That era is over. Enter: the distributed cloud.

IonQ is a pure-play quantum computing upstart, while IBM is a diversified tech giant with a significant quantum computing division.

This study explores the application of quantum computing to metal cluster analysis through the development and implementation of a quantum-DFT embedding workflow. Classical computational methods, ...

Photonic synaptic transistors have attracted considerable interest in neuromorphic computing due to their fast response times, low power consumption, and ability to mimic synaptic plasticity when ...

There are various approaches which make use of distributed resources in different manner to solve similar kind of problems known by different names like-Cluster Computing, Cloud Computing, Meta ...