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dispel4py : A Python framework for data-intensive scientific computing (2016)

First Author: Filguiera R

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