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Subsurface flow simulation with TRACES

Gyrocinetic simulation with GYSELA

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(:cellnr align='center':) http://www-sop.inria.fr/c2s_at_exa/tmp/DEEP-ER_Flyer_SC14.jpg (:cellnr align='center':) DEEP-ER flyer

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Simulation of human exposure to electromagnetic fields (DEEP-ER project)

(:tableend:) Gyrocinetic simulations with GYSELA

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Gyrocinetic simulations with GYSELA

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C2S@Exa at SC'13@Inria booth

Associated projects

DEEP-ER (Dynamic Exascale Entry Platform - Extended Reach) EU project

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EXA2CT (Exascale Algorithms and Advanced Computational Techniques) EU project

(:cellnr align='center':) http://www-sop.inria.fr/c2s_at_exa/tmp/DEEP-ER_Flyer_SC13.jpg (:cellnr align='center':) DEEP-ER flyer

C2S@Exa at SC'13@Inria booth

C 2 S?@Exa at SC'13

(:cellnr align='center':) Hiepacs poster (:cell align='center':) Runtime poster

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C 2 S?@Exa at SC'14

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EXA2CT (Exascale Algorithms and Advanced Computational Techniques) EU project

DEEP-ER (Dynamic Exascale Entry Platform - Extended Reach) EU project

EXA2CT (Exascale Algorithms and Advanced Computational Techniques) EU project

DEEP-ER (Dynamic Exascale Entry Platform - Extended Reach) EU FP 7? project

EXA2CT (Exascale Algorithms and Advanced Computational Techniques) EU FP 7? project

A small number of scientific and technological challenges have been selected as the main targets for the research and development activities undertaken in the project. Two application domains have been considered at the beginning of the project namely, nuclear energy production and radioactive waste management. For these application domains, associated use cases have been defined in conjunction with external partners for the demonstration of the possibilities of the high performance numerical computing methodologies that are developed in the project. The two external partners currently involved in the project are ANDRA (French National Agency for Radioactive Waste Management) and CEA-IRFM (French Alternative Energies and Atomic Energy Commission).

Related HPC events

Maison de la Simulation
PATC (Prace Advanced Training Centers) training courses at Maison de la Simulation

Supercomputing 2013 (SC13)
Denver, Colorado, November 17-22, 2013

HPC'13
San Diego, California, April 7-10, 2013

HPDC'13
New York City, June 17-21, 2013

Euro-Par 2013
Aachen, Germany, August 26-30, 2013

HiPC 2013
Orlandao, Florida, December 10-15, 2013

SIAM PP14
Portland, Oregon, February 18-21, 2014

Maison de la Simulation -]

[- PATC (Prace Advanced Training Centers) training courses at Maison de la Simulation

High Performance Computing in Science and Engineering (HPCSE 2013)
Hotel Soláň, Czech Republic, May 2 -30, 2013

Technical meeting on sparse linear system solvers
INRIA Antenne Parisienne, September 23, 2013

Technical meeting on sparse linear system solvers\\ INRIA Antenne Parisienne, September 23, 2013

Slides

Selalib, une bibliothèque modulaire pour la simulation du modèle gyrocinétique par une méthode semi Lagrangienne
Slides

Slides - Part 1
Slides - Part 2

Emmanuel Agullo, Hiepacs project-team
Luc Giraud, Hiepacs project-team
Pierre Ramet, Hiepacs project-team
Les solveurs linéaires parallèles dans Hie PACS?: aujourd'hui et demain
Slides - Part 1
Slides - Part 2
Slides - Part 3

Jean-Yves L’Excellent, Roma team
MUMPS : un solveur parallèle multifrontal pour la résolution de Ax=b
Slides

Jocelyne Erhel, Sage project-team
Les solveurs linéaires dans l’équipe Sage
Slides

Technical meeting on sparse linear system solvers\\ INRIA Antenne Parisienne, September 23, 2013

Pierre Navaro, Tonus project-team
Se La Lib?, une bibliothèque modulaire pour la simulation du modèle gyrocinétique par une méthode semi Lagrangienne
Slides

Laura Grigori, Alpines project-team
Frédéric Nataf, University of Paris 6, J.L. Lions Laboratory and Alpines project-team
Linear solvers developed in Alpines
Slides - Part 1
Slides - Part 2

Openmp 4.X to programming HPC applications on heterogeneous architectures?\\

Pierre Ramet, Hiepacs project-team\\

Open MP? 4.X to programming HPC applications on heterogeneous architectures?\\

Cédric Lachat, Bacchus project-team
The Pampa tool for parallel mesh partitioning and adaptation
Slides

Christian Perez, Avalon project-team
Programming HPC applications with software components
Slides

Thierry Gautier, Moais project-team\\

Slides

Boniface Nkonga/Richard Pasquetti, University of Nice - Sophia Antipolis and Castor project-team
HPC and the Castor project-team\\

Jacques Blum, University of Nice - Sophia Antipolis and Castor project-team
The Fusion IPL
Slides

Francis Filbet, Khaliffe project-team
Computing issues related to kinetic models for plasma physics
Slides

Pierre Ramet, Hie PACS? project-team
From hybrid architectures to hybrid solvers
Slides

Kickoff meeting at INRIA Sophia Antipolis - Méditerranée, May 17, 2013

Boniface N Konga?/Richard Pasquetti, Castor project-team\\

Slides

Kickoff meeting at INRIA Sophia Antipolis - Méditerranée, May 17, 2013

GYSELA: Exascale needs\\

Philippe Helluy, Tonus project-team\\

Slides

Stéphane Lanteri, Nachos project-team
c2s@Exa – An INRIA Project Lab on high performance computing for computational sciences
Slides

Virginie Grandgirard/Guillaume Latu, CEA-IRFM
Julien Bigot, Maison de la Simulation

Slides

Guillaume Latu, CEA-IRFM
JOREK, a parallel code for modelling non linear MHD in Tokamaks
Slides

Slides

Slides

Slides

Slides

Slides

Slides

Slides

Radioactive waste management\\

Technical meeting on Meshes and their use in large-­scale simulations\\

Slides

Slides

CGALmesh - Going parallel\\

The Pampa tool for parallel mesh partitioning and adaptation\\

MMG3D - Remailleur iso/aniso de maillage en tétraèdres\\

Bruno Lévy, Alice project-team
Parallel meshing by enumerating the vertices of Voronoi cells
Slides

Paul-Louis George, Gamma3 project-team
Remarques sur les grands maillages, comment les construire et/ou comment les éviter
Slides

Philippe Helluy, Tonus project-team
Meshes for Tonus
Slides

Institut Henri Poincaré, May 14, 2013

CGALmesh - A Simplicial Mesh Generator based on the library CGAL\\

Technical meeting on Meshes and their use in large-­scale simulations\\

CGA Lmesh? - Going parallel\\

Technical meeting on Meshes and their use in large-­scale simulations\\ Institute Henri Poincaré, May 14, 2013

Technical meeting on Meshes and their use in large-­scale simulations\\ Institute Henri Poincaré, May 14, 2013

CGA Lmesh? - A Simplicial Mesh Generator based on the library CGAL\\

Technical meeting on Meshes and their use in large-­scale simulations \\ Institute Henri Poincaré, May 14, 2013

Mariette Yvinec, Geometrica project-team
CGA Lmesh?
Slides

Clément Jamin, Geometrica project-team
CGA Lmesh?
Slides

François Pellegrini, Bacchus project-team
The Pa MPA? tool for parallel mesh partitioning and adaptation
Slides

Cécile Dobrzynski, Bacchus project-team
MMG 3 D? : remailleur iso/aniso de maillage en tétraèdres
Slides

Jean Roger, ANDRA
La problématique des maillages pour la simulation numérique des stockages de déchets radioactifs
Slides

 
 
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Technical meeting on Meshes and their use in large-­scale simulations \\ Institute Henri Poincaré, May 14, 2013

c2s@Exa – An INRIA Project Lab on high performance computing for computational sciences\\

Slides - part 1 Slides - part 2 Slides - part 3

Slides

Christian Perez, Avalon project-team
Programming HPC applications with software components
Slides

Nabil Birgle, Pomdapi project-team
A mixed finite element method for deformed cubic meshes
Slides

Edouard Canot, Sage project-team
Activities of the Sage project-team in relation to the c2s@Exa IPL
Slides

Michel Kern, Pomdapi project-team
Activities of the Pomdapi project-team in relation to the c2s@Exa IPL
Slides - part 1 Slides - part 2 Slides - part 3

Michel Kern, Pomdapi project-team
Maison de la Simulation
Slides

The PAMPA tool for parallel mesh partitioning and adaptation\\

Luc Giraud, Hiepacs project-team\\

Cédric Lachat, Bacchus project-team\\

Souhila Sabit, Sage project-team \\

Marc Leconte, ANDRA
Ongoing high performance computing initiatives at ANDRA
Slides

Luc Giraud, Hie PACS? project-team
On hierarchical parallel sparse linear systems
Slides

Cédric Lachat, BACCHUS project-team
The Pa MPA? tool for parallel mesh partitioning and adaptation
Slides

Souhila Sabit, SAGE project-team
Numerical models of reactive transport in porous media
Slides

Laurent Loth, ANDRA
The TRACES software
Slides

ANDRA’s use case for the c2s@Exa IPL\\

Guillaume Pépin, ANDRA
ANDRA’s use case for the C 2 S?@Exa IPL
Slides

Kickoff meeting at ANDRA, April 24, 2013

Radioactive waste management application
Kickoff meeting at ANDRA, April 24, 2013\\

equations in view of the simulation of very large-scale problems.

Gyrocinetic simulations with GYSELA

Gyrocinetic simulations with GYSELA

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(:table border='0' width='10%' align='center' cellspacing='1px':) (:cellnr align='center':) Gyrocinetic simulations with GYSELA (:tableend:)

(:tableend:)

Gyrocinetic simulations with GYSELA

Gyrocinetic simulations with GYSELA

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The C2S@Exa INRIA large-scale initiative is concerned with the development of numerical modeling methodologies that fully exploit the

Hence, the main objective of the C2S@Exa INRIA large-scale initiative is the establishment of a continuum of expertise in the computer

The C2S@Exa large-sacle initiative will be present at SC12 at INRIA's booth (\# 1209)

The C2S@Exa large-sacle initiative will be present at SC12 at INRIA's booth (\# 1209)

The C 2 S?@Exa large-sacle initiative will be present at SC12 at INRIA's booth (\# 1209)

equations in view of the simulation of very large-scale.

(:notitle:)

equations in view of the simulation of very large-scale.

Hence, the main objective of the C2S@Exa INRIA large-scale initiative is the establishment of a continuum of expertise in the computer

from INRIA project-teams whose research and development activities are tightly linked to high performance computing issues in these domains. More precisely, this collaborative effort involves computer

tools for harnessing massively parallel systems, algorithmists

entities and, numerical mathematicians that are studying numerical

The C2S@Exa INRIA large-scale initiative is concerned with the development of numerical modeling methodologies that fully exploit the

Hence, the main objective of the C2S@Exa INRIA large-scale initiative

The C2S@Exa INRIA Large Scale Initiative is concerned with the development of numerical modeling methodologies that fully exploit the

The C2S@Exa INRIA Large Scale Initiative is concerned with the

Hence, the main objective of the C2S@Exa INRIA Large Scale Initiative

from INRIA project-teams whose research and development activities are tightly linked to high performance computing issues in these domains. More precisely, this collaborative effort involves (a) computer

The C2S@Exa INRIA Large Scale Initiative is concerned with the

The C2S@Exa [[http://www.inria.fr/en | INRIA] Large Scale Initiative is concerned with the

Hence, the main objective of the C2S@Exa INRIA Large Scale Initiative

The C2S@Exa INRIA Large Scale Initiative is concerned with the

The [http://www-sop.inria.fr/nachos/c2s_at_exa | C 2 S?@Exa] INRIA Large Scale Initiative is concerned with the

The C 2 S?@Exa INRIA Large Scale Initiative is concerned with the

The C 2 S?©Exa INRIA Large Scale Initiative is concerned with the

The [C 2 S?@Exa] INRIA Large Scale Initiative is concerned with the

The C 2 S?@Exa INRIA Large Scale Initiative is concerned with the

The C 2 S Exa? INRIA Large Scale Initiative is concerned with the

The C 2 S?\@Exa INRIA Large Scale Initiative is concerned with the

The C 2 S?@Exa INRIA Large Scale Initiative is concerned with the development of numerical modeling methodologies that fully exploit the processing capabilities of modern massively parallel architectures in the context of a number of selected applications related to important scientific and technological challenges for the quality and the security of life in our society. At the current state of the art in technologies and methodologies, a multidisciplinary approach is required to overcome the challenges raised by the development of highly scalable numerical simulation software that can exploit computing platforms offering several hundreds of thousands of cores. Hence, the main objective of the C 2 S?@Exa INRIA Large Scale Initiative is the establishment of a continuum of expertise in the computer science and numerical mathematics domains, by gathering researchers from INRIA project-teams whose research and development activities are tightly linked to high performance computing issues in these domains. More precisely, this collaborative effort involves (a) computer scientists that are experts of programming models, environments and tools for harnessing massively parallel systems, (b) algorithmists that propose algorithms and contribute to generic libraries and core solvers in order to take benefit from all the parallelism levels with the main goal of optimal scaling on very large numbers of computing entities and, (c) numerical mathematicians that are studying numerical schemes and scalable solvers for systems of partial differential equations in view of the simulation of very large-scale. This project clearly addresses the exascale computing road-map. The undertaken research and development activities will all aim at exhibiting the highest performances with regards to the capabilities of current high performance computing technologies as well as those that will be available in a near future.