Modeling Scalability of Distributed Machine Learning

Present day machine learning is computationally intensive and processes large amounts of data. It is implemented in a distributed fashion in order to address these scalability issues. The work is parallelized across a number of computing nodes. It is usually hard to estimate in advance how many node...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2017-03
Hauptverfasser:	Ulanov, Alexander, Simanovsky, Andrey, Marwah, Manish
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Machine learning Nodes Parallel processing Workload
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!