Abstract : Different scientific workflow languages have been developed to help programmers in designing complex data analysis pro- cedures. However, little effort has been invested in com- paring and finding a common root for existing approaches. This work is motivated by the search for a scientific workflow language which coherently integrates different aspects of dis- tributed computing. The language proposed is data-driven for easing the expression of parallel flows. It leverages array programming principles to ease data-intensive applications design. It provides a rich set of control structures and it- eration strategies while avoiding unnecessary programming constructs. It allows programmers to express a wide set of applications in a compact framework.
International conference on High Performance Computing, networking, storage and analysis (SC09), Nov 2009, Portland, United States. ACM, pp.1-10, 2009, <10.1145/1645164.1645171>
https://hal.archives-ouvertes.fr/hal-00677806
Contributeur : Johan Montagnat <>
Soumis le : dimanche 11 mars 2012 - 23:07:42
Dernière modification le : jeudi 22 mars 2012 - 09:53:01
Document(s) archivé(s) le : lundi 26 novembre 2012 - 10:30:49
Johan Montagnat, Benjamin Isnard, Tristan Glatard, Ketan Maheshwari, Mireille Blay-Fornarino. A data-driven workflow language for grids based on array programming principles. International conference on High Performance Computing, networking, storage and analysis (SC09), Nov 2009, Portland, United States. ACM, pp.1-10, 2009, <10.1145/1645164.1645171>. <hal-00677806>
