Deep learning networks can contain millions of parameters that must be broadcast to all the distributed processors during each ... depending on the network topology and processor architecture to ...

“Abstract—Large-scale distributed deep learning training has enabled developments of ... and the opportunity of algorithm-architecture co-design. We propose MULTITREE all-reduce algorithm with ...

The global energy grid is undergoing a profound transformation. Moving from traditional centralized control systems to more dynamic, distributed structures, thi ...

Distributed data architecture enables business units to innovate independently while adhering to unified governance, striking a balance between agility and control. Organizations need the latitude ...

to improve the communications efficiency of machine learning conducted in a "worker-server" wireless architecture. The issue was published May 17, 2022. "Problems in distributed optimization ...