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 en applications et traitement de l'image pour la santé
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, pp.1-10, 2009, 〈10.1145/1645164.1645171〉
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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, pp.1-10, 2009, 〈10.1145/1645164.1645171〉. 〈hal-00677806〉

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