Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching.
Miro HodakDavid EllisonPeter SeidelAjay DholakiaPublished in: IEEE BigData (2018)
Keyphrases
- big data
- deep learning
- data intensive
- data intensive computing
- cloud computing
- machine learning
- unsupervised feature learning
- data analysis
- unsupervised learning
- data processing
- commodity hardware
- data management
- data science
- social media
- knowledge discovery
- big data analytics
- query processing
- weakly supervised
- mental models
- data warehousing
- massive datasets
- data analytics
- multiscale
- databases
- data sets
- decision making