A data-driven workflow language for grids based on array programming principles

Johan Montagnat 1, * Benjamin Isnard 2 Tristan Glatard 3 Ketan Maheshwari 1 Mireille Blay-Fornarino 1
* Auteur correspondant
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS
SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
2 GRAAL - Algorithms and Scheduling for Distributed Heterogeneous Platforms
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
3 CREATIS - Centre de Recherche et d'Application en Traitement de l'Image et du Signal
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.
Mots-clés : Languages Design
Type de document :
Communication dans un congrès
International conference on High Performance Computing, networking, storage and analysis (SC09), Nov 2009, Portland, United States. ACM, Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science (WORKS '09), pp.1-10, 2009, 〈10.1145/1645164.1645171〉
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ENS-LYON | INRIA | I3S | LIP | UNICE | INSA-LYON | UNIV-COTEDAZUR | UNIV-LYON1 | INRIA-RENGRE | CREATIS

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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, Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science (WORKS '09), pp.1-10, 2009, 〈10.1145/1645164.1645171〉. 〈hal-00677806〉

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