Arnaud Legrand
7
Documents
Présentation
### Contact:
arnaud.legrand@imag.fr
### Webpage:
[Academic Page ](http://mescal.imag.fr/membres/arnaud.legrand/)
### Resume:
Arnaud Legrand is the leader of the [POLARIS](https://team.inria.fr/polaris/) team. He is a [CNRS](http://www.cnrs.fr/) research scientist at the [LIG](http://www.liglab.fr/). His research targets the management (mostly from an algorithmic point of view, i.e., scheduling, load balancing, fairness, game theory….) and performance evaluation (in particular through simulation, visualization, statistical analysis, …) of large scale distributed computing infrastructures such as clusters, grids, desktop grids, volunteer computing platforms, clouds,… when used for scientific computing. He is one of the main developers of the [**SimGrid**](http://simgrid.gforge.inria.fr/) project, a **simulation** toolkit for building simulators of distributed applications (originally designed for scheduling algorithm evaluation purposes) developed in collaboration with [Henri Casanova](http://navet.ics.hawaii.edu/%7Ecasanova/), [Martin Quinson](http://www.loria.fr/%7Equinson/) and [Frédéric Suter](http://graal.ens-lyon.fr/%7Efsuter/).
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### Education and Professional Experience
Nov. 2015*Habilitation à Diriger des Recherches*, University of GrenobleOct. 2004-…:Tenured Researcher for the CNRS (*Chargé de Recherche*) at Laboratoire d'Informatique de Grenoble.2004-2005:Post-Doctoral Research Associate, UCSD (USA). Collaboration with Henri Casanova, Larry Carter and Jeanne Ferrante.2003-2004:Post-Doctoral Research Associate, École Normale Supérieure de Lyon (France).2000-Dec. 2003:Ph.D. Computer Science, École Normale Supérieure de Lyon. Laboratoire de l'Informatique du Parallélisme. Thesis: *Heterogeneous parallel algorithms and scheduling : static and dynamic approaches* Advisors: Prof. Olivier Beaumont and Prof. Yves Robert.
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A Visual Performance Analysis Framework for Task-based Parallel Applications running on Hybrid ClustersConcurrency and Computation: Practice and Experience, 2018, 30 (18), pp.1-31. ⟨10.1002/cpe.4472⟩
Article dans une revue
hal-01616632v2
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Faithful Performance Prediction of a Dynamic Task-Based Runtime System for Heterogeneous Multi-Core ArchitecturesConcurrency and Computation: Practice and Experience, 2015, pp.16. ⟨10.1002/cpe.3555⟩
Article dans une revue
hal-01147997v1
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Faithful Performance Prediction of a Dynamic Task-based Runtime System, an Opportunity for Task Graph SchedulingSIAM PP 2020 - SIAM Conference on Parallel Processing for Scientific Computing, Feb 2020, Seattle, United States
Communication dans un congrès
hal-02943753v1
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Detecção de Anomalias de Desempenho em Aplicações de Alto Desempenho baseadas em Tarefas em Clusters HíbridosWPerformance 2018 - 17º Workshop em Desempenho de Sistemas Computacionais e de Comunicação, Jul 2018, Natal, Brazil. pp.1-14
Communication dans un congrès
hal-01842038v1
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Analyzing Dynamic Task-Based Applications on Hybrid Platforms: An Agile Scripting ApproachVPA 2016 - 3rd Workshop on Visual Performance Analysis, Nov 2016, Salt Lake City, United States. pp.17-24, ⟨10.1109/VPA.2016.008⟩
Communication dans un congrès
hal-01353962v2
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Modeling and Simulation of a Dynamic Task-Based Runtime System for Heterogeneous Multi-Core ArchitecturesEuro-par - 20th International Conference on Parallel Processing, Aug 2014, Porto, Portugal. pp.50-62, ⟨10.1007/978-3-319-09873-9_5⟩
Communication dans un congrès
hal-01011633v1
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Modeling and Simulation of a Dynamic Task-Based Runtime System for Heterogeneous Multi-Core Architectures[Research Report] RR-8509, INRIA. 2014
Rapport
hal-00966862v1
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