dispel4py : A Python framework for data-intensive scientific computing (2016)
Attributed to:
Hazard forecasting in real time: from controlled laboratory tests to volcanoes and earthquakes
funded by
NERC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1177/1094342016649766
Publication URI: http://dx.doi.org/10.1177/1094342016649766
Type: Journal Article/Review
Parent Publication: The International Journal of High Performance Computing Applications
Issue: 4