Arnaud Legrand
9
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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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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Autotuning under Tight Budget Constraints: A Transparent Design of Experiments ApproachCCGrid 2019 - International Symposium in Cluster, Cloud, and Grid Computing, May 2019, Larcana, Cyprus. pp.1-10, ⟨10.1109/CCGRID.2019.00026⟩
Communication dans un congrès
hal-02110868v2
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Characterizing the Performance of Modern Architectures Through Opaque Benchmarks: Pitfalls Learned the Hard WayIPDPS 2017 - 31st IEEE International Parallel & Distributed Processing Symposium (RepPar workshop), May 2017, Orlando, United States
Communication dans un congrès
hal-01470399v2
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Fast and Accurate Simulation of Multithreaded Sparse Linear Algebra SolversThe 21st IEEE International Conference on Parallel and Distributed Systems, Dec 2015, Melbourne, Australia
Communication dans un congrès
hal-01180272v2
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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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Toward Better Simulation of MPI Applications on Ethernet/TCP NetworksPMBS13 - 4th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, Nov 2013, Denver, United States
Communication dans un congrès
hal-00919507v1
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Performance Analysis of HPC Applications on Low-Power Embedded PlatformsDATE - Design, Automation & Test in Europe, Mar 2013, Grenoble, France. pp.475-480, ⟨10.7873/DATE.2013.106⟩
Communication dans un congrès
hal-00872482v1
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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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Improving Simulations of MPI Applications Using A Hybrid Network Model with Topology and Contention Support[Research Report] RR-8300, INRIA. 2013, pp.22
Rapport
hal-00821446v1
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