Serverless Supercomputing: High Performance Function as a Service for Science
Work
Year: 2019
Type: preprint
Abstract: Growing data volumes and velocities are driving exciting new methods across the sciences in which data analytics and machine learning are increasingly intertwined with research. These new methods requ... more
Source: arXiv (Cornell University)
Cites:
Cited by: 17
Related to: 10
Citation percentile (by year/subfield): 96.85
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Industry, innovation and infrastructure
Open Access status: green