Feng Xing, Hybrid dimensional Darcy flow in fractured porous medium and parallel implementation in code ComPASS\\\

Feng Xing, Multiscale hybrid methods for time-domain electromagnetics\\\

Julien Diaz, Portable task-based programming model for elastodynamics\\\

[-Thierry Priol, Inria’s perspectives on Brazil-French cooperation after HOSCAR

Frédéric Valentin, LNCC’s perspectives on Brazil-France collaboration after HOSCAR

Mariano Vasquez, HPC-based multi-physics simulations for the energy realm

Fabrice Dupros, High performance computational geosciences at BRGM

Xavier Vigouroux, No escape, we have to collaborate !

Alvaro Coutinho, A review of NACAD’s developments within HOSCAR and future perspectives on H2020\\\

Jean-François Méhaut, CORSE - Compiler optimizations and runtime systems

Julien Diaz, Portable task-based programming model for elastodynamics

Pierre Ramet, Blocking strategy optimizations for sparse direct linear solver on heterogeneous architectures

Luc Giraud, Some progresses on hybrid solvers toward extreme scale

Stéphane Lanteri, Achievements and perspectives on numerical schemes for wave propagation problems

Marie Bonnasse-Gahot, Modeling of elastic Helmholtz equations by hybridizable discontinuous Galerkin method (HDG) for geophysical applications

Marie-Hélène Lallemand-Tenkes, A MHM method for time-domain linear elastodynamics

Marta Mattoso, Analyzing related raw data files through dataflow

Patrick Valduriez, Integrating Big Data and relational data with a functional SQL-like query language

Reza Akbarinia, An efficient solution for processing skewed MapReduce jobs

Raphaël Léger, Multiscale hybrid methods for time-domain electromagnetics\\\

Fabrice Dupros,

Frédéric Valentin,

Jean-François Méhaut,

Julien Diaz,

Pierre Ramet,

Luc Giraud,

Alvaro Coutinho, A review of NACAD’s developments within HOSCAR and future perspectives on H2020

Brice Videau, BOAST - Performance portability using meta-programming and auto-tuning

Cédric Lachat, Distributed mesh and graph computations within PaMPA and PT-Scotch libraries

Fabio Porto, Scientific Data Management@HOSCAR

Antonio Tadeu Gomez, On the implementation of a flexible, scalable simulator for the family of MHM methods

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September 21-24 2015, Inria Sophia Antipolis-Méditerranée, France

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September 21-24 2015, Inria Sophia Antipolis-Méditerranée, France\\

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Rapahël Léger et al., A parallel discontinuous Galerkin time-domain solver of Maxwell’s equations-]

[-Alvaro Coutinho, Recent advances in high performance computing for multiphysics problems

Antonio Gomes et al., Experiments with a multi-language approach to implementing multiscale hybrid-mixed methods\\\

Lucas Schnorr, Performance analysis scalability on PajeNG

Stéphane Lanteri et al., Numerical modeling of the interaction of light with nanometer scale structures

Pierre Ramet, Task-based sparse linear solvers for modern architectures

Lucas Mueller et al., Extreme one-dimensional modeling for computational hemodynamics

Alexandre Madureira, High performance computational neuroscience

Luc Giraud, Some progresses on Krylov linear solvers for multiple right-hand sides

Danilo Costa et al., A study on computational complexity of optimized finite difference weights for reverse time migration kernels

Vinícius Freire et al., NACluster: a non-supervised clustering algorithmfor matching multi catalogues

Amir Khatibi, Unveiling objects in big data

Hermano Lustosa et al., SimDB - Numerical simulations using a multidimensional array model

Diego Paredes et al., Multiscale hybrid-mixed method for the Maxwell equations in time domain

Rapahël Léger et al., [[http://www-sop.inria.fr/hoscar/4th_CNPq_INRIA-meeting/RLeger.pdf | A parallel discontinuous Galerkin time-domain solver of Maxwell’s equations]\\\

Cédric Lachat et al., Parallel remeshing andmulti-grid management

Renato Elias et al., Emerging challenges for EdgeCFD simulations in many-­core architectures

Felipe Horta, A scientific workflow gateway enriched by provenance for large-scale experiments

Flavio Rodrigues, Automatic performance analysis for parallel applications: initial ideas

Victor Martinez et al., Load balancing analysis for seismic model Ondes3D on multi GPU platforms

João Marcelo Uchôa de Alencar, High performance computing in LIA - UFC: current status and future directions

Miguel Liroz Gistau et al., Improving the MapReduce big data processing framework

Francieli Zanon Boito et al., IO research at GPPD UFRGS

Fabio Porto et al., Supporting in-silico science with data management

Jean-Francois Méhaut et al., BOAST - A generative language for intensive computing kernels

Vítor Silva, Exploring adaptive techniques in HPC workflows

Konstantin Brenner et al., Numerical methods for complex fows in porous media

Marta Mattoso et al., User interaction in uncertainty quantification analysis workflows

Frédéric Valentin et al., Multiscale hybrid-mixed method for the Maxwell equations in time domain

Márcio Castro et al., Energy efficient seismic wave propagation simulation on a low power manycore processor\\\

D. Gaspar, A multi-dimensional equi-depth partitioning strategy for astronomy catalog data\\\

F. Rodrigues, Automatic performance analysis for parallel applications: initial ideas\\\

F. Horta, A scientific workflow gateway enriched by provenance for large-scale experiments

F. Rodrigues, Automatic performance analysis for parallel applications: initial ideas

F. Rodrigues, Automatic performance analysis for parallel applications: initial ideas\\\

C. Lachat et al., Parallel remeshing andmulti-grid management

R. Elias et al., Emerging challenges for EdgeCFD simulations in many-­core architectures\\\

C. Lachat et al., Parallel remeshing andmulti-grid management\\\

4th workshop of the HOSCAR project\\

4th workshop of the HOSCAR project\\

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Xavier Vigouroux, Data centers. Current trends and impacts-]

[-Alvaro Coutinho et al., A multi-output Gaussian model applied to uncertainty quantification of seismic problems\\\

Xavier Vigouroux, Data centers. Current trends and impacts\\\-]

[-

-]

Vinicius Freire et al., A model for astronomical cross-matching disambiguation\\\

Xavier Vigouroux, Data centers. Current trends and impacts\\\

V Freire et al., Hierarchical sparse hybrid solvers for manycore platforms

Xavier Vigouroux et al., Hierarchical sparse hybrid solvers for manycore platforms\\\

Xavier Lacoste, Toward a supernodal sparse direct solver over DAG runtimes\\\

Xavier Lacoste et al., Hierarchical sparse hybrid solvers for manycore platforms\\\

Alexandre Madureira et al., Multiscale hybrid method (MHM). Remarks and applications\\\

Frédéric Valentin, Multiscale hybrid-mixed method for reactive-advective dominated models\\\

Theophile Chaumont, The multiscale hybrid-mixed method for the Helmholtz equations

Xavier Lacoste et al., Hierarchical sparse hybrid solvers for manycore platforms

Stojce Nakov et al., Hierarchical sparse hybrid solvers for manycore platforms\\\

Rodrigo Kassik et al., Performance analysis of parallel file systems: application characterization and benchmarks

Renato Elias, Emerging challenges for EdgeCFD simulations in massively manycore architectures

Theophile Chaumont, Emerging challenges for EdgeCFD simulations in massively manycore architectures\\\

R Kassik et al., Research activities of the GPPD group - Load balancing strategies

Renato Elias et al., Emerging challenges for EdgeCFD simulations in massively manycore architectures\\\

Renato Elias et al., Hierarchical sparse hybrid solvers for manycore platforms

Stojce Nakov et al., Hierarchical sparse hybrid solvers for manycore platforms\\\

Philippe Navaux et al., Research activities of the GPPD group - Load balancing strategies

R Andrade et al., Research activities of the GPPD group - Load balancing strategies\\\

Maria Mattoso et al., Interacting with scientific workflows for computational analyses

Philippe Navaux et al., Interacting with scientific workflows for computational analyses\\\

Marie Bonnasse et al., Discontinuous Galerkin methods for solving Helmholtz isotropic wave equations for seismic applications\\\

Marie Bonnasse et al., Talk

Maria Mattoso et al., Talk\\\

Marie Bonnasse et al., [[http://www-sop.inria.fr/hoscar/3rd_CNPq_INRIA-meeting/MBonnasse.pdf | Talk]

Maria Mattoso et al., [[http://www-sop.inria.fr/hoscar/3rd_CNPq_INRIA-meeting/MMattoso.pdf | Talk]\\\

Marie Bonnasse et al., \\\

Marie Bonnasse et al., Combining recent HPC techniques for 3D geophysics acceleration\\\

Julien Diaz et al., Combining recent HPC techniques for 3D geophysics acceleration

Lionel Boillot et al., Combining recent HPC techniques for 3D geophysics acceleration\\\

Jean-Marc Vincent, The LICIA laboratory

Lionel Boillot, The LICIA laboratory\\\

Jean-François Méhaut et al., Performance analysis of HPC applications on low-power embedded platforms

Jean-Marc Vincent et al., Performance analysis of HPC applications on low-power embedded platforms\\\

Jean-François Méhaut, Multiscale Hybrid-Mixed Method for reactive-advective dominated models\\\

Frédéric Valentin, Multiscale Hybrid-Mixed Method for reactive-advective dominated models

Julien Diaz, Multiscale Hybrid-Mixed Method for reactive-advective dominated models\\\

Fabio Porto et al., HaQoop: scientific workflows over BigData

Frédéric Valentin, HaQoop: scientific workflows over BigData

Diego Paredes, A novel adaptivity process for reaction-advection-diffusion problems

Fabio Porto, A novel adaptivity process for reaction-advection-diffusion problems\\\

Cédric Lachat, PaMPA :Parallel MeshPartitioning and Adaptation

Diego Paredes, PaMPA :Parallel MeshPartitioning and Adaptation

Bruno Schulze, Virtualization technologies in support to scientific applications

Cédric Lachat, Virtualization technologies in support to scientific applications\\\

Bruno Raffin, Efficient multi-core programming and in-situ result analysis

Bruno Schulze, Efficient multi-core programming and in-situ result analysis\\\

Benaia Lima et al., Multi-level preconditioning strategies for the stabilized finite element formulation of incompressible viscous flow coupled to advective-diffusive transport

Bruno Raffin et al., Multi-level preconditioning strategies for the stabilized finite element formulation of incompressible viscous flow coupled to advective-diffusive transport

Alvaro Coutinho et al., A multi-output Gaussian model applied to uncertainty quantification of seismic problems

Alexandre Madureira et al., Multiscale Hybrid Method (MHM). Remarks and applications

Antonio Tadeu Gomez et al., On the reengineering of the SPiNMe environment for supporting the Multiscale Hybrid-Mixed Methods

Bernardo Lima et al., On the reengineering of the SPiNMe environment for supporting the Multiscale Hybrid-Mixed Methods\\\

Antonio Tadeu Gomez et al., Multiscale Hybrid Method (MHM). Remarks and applications\\\

Alvaro Coutinho et al., A multi-output Gaussian model applied to uncertainty quantification of seismic problems

Alexandre Madureira et al., Multiscale Hybrid Method (MHM). Remarks and applications\\\

quantification of seismic problems ]]

Alexandre Madureira et al., [[http://www-sop.inria.fr/hoscar/3rd_CNPq_INRIA-meeting/AMadureira.pdf | Multiscale Hybrid Method (MHM). Remarks and applications ]]\\\

Alvaro Coutinho et al., [[http://www-sop.inria.fr/hoscar/3rd_CNPq_INRIA-meeting/ACoutinho.pdf | A multi-output Gaussian model applied to uncertainty quantification of seismic problems ]]
Alexandre Madureira et al., Talk\\

Alvaro Coutinho, \\\

September 2-6 2013, INRIA Bordeaux - Sud-Ouest, France

Alvaro Coutinho, [[http://www-sop.inria.fr/hoscar/3rd_CNPq_INRIA-meeting/ACoutinho.pdf | ]\\\

Program

3rd workshop of the HOSCAR project
September 2-6 2013, INRIA Bordeaux - Sud-Ouest, France\\

3rd workshop of the HOSCAR project\\

3rd workshop of the HOSCAR project
September 2-6 2013, INRIA Bordeaux - Sud-Ouest, France
Program

3rd workshop of the HOSCAR project
September 2-6 2013, INRIA Bordeaux - Sud-Ouest, France
Program

Contact by mail

The French partners are research teams from several INRIA research centers.

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Brazilian coordinator: Pedro Leite da Silva Dias \\

French coordinator: Stéphane Lanteri \\

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French coordinator: Stéphane Lanteri \\

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Contact by mail

Contact by mail

Brazilian coordinator: Pedro Leite da Silva Dias \\

Brazilian coordinator: Pedro Leite da Silva Dias
Director of the National Laboratory for Scientific Computing (LNCC) of the Ministry of Science and Technology and Innovation
General coordinator of the National System for High Performance Computing (SINAPAD)
Av. Getulio Vargas, 333. 25651-075 Petropolis, RJ, Brazil\\

French coordinator: Stéphane Lanteri
2004 Route des Lucioles, B.P. 93, 06902 Sophia Antipolis Cedex, France\\

Brazilian coordinator: Pedro Leite da Silva Dias, Director of the National

Contact by mail

French coordinator: Stéphane Lanteri, Senior Researcher at the Institut National de recherché en Informatique et Automatique (INRIA) Scientific head of the NACHOS project-team 2004 Route des Lucioles, B.P. 93, 06902 Sophia Antipolis Cedex, France Contact by mail

Several Brazilian institutions are participating to the project among which: LNCC (Laboratório Nacional de Computação Científica), COPPE/UFRJ (Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia/Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering, Universidade Federal do Rio de Janeiro), INF/UFRGS (Instituto de Informática, Universidade Federal do Rio Grande do Sul) and LIA/UFC (Laboratórios de Pesquisa em Ciência da Computação Departamento de Computação, Universidade Federal do Ceará).

The French partners are research teams from several INRIA research centers.

The Brazilian researchers involved in the project are members from several institutions among which: LNCC (Laboratório Nacional de Computação Científica), COPPE/UFRJ (Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia/Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering, Universidade Federal do Rio de Janeiro), INF/UFRGS (Instituto de Informática, Universidade Federal do Rio Grande do Sul) and LIA/UFC (Laboratórios de Pesquisa em Ciência da Computação Departamento de Computação, Universidade Federal do Ceará)

The HOSCAR project is a CNPq - INRIA collaborative project between Brazilian and French researchers, in the field of computational sciences. The project is also sponsored by the French Embassy in Brazil.

The general objective of the project is to setup a multidisciplinary Brazil-France collaborative effort for taking full benefits of future high-performance massively parallel architectures. The targets are the very large-scale datasets and numerical simulations relevant to a selected set of applications in natural sciences: (i) resource prospection, (ii) reservoir simulation, (iii) ecological modeling, (iv) astronomy data management, and (v) simulation data management. The project involves computer scientists and numerical mathematicians divided in 3 fundamental research groups: (i) numerical schemes for PDE models (Group 1), (ii) scientific data management (Group 2), and (iii) high-performance software systems (Group 3).

The Brazilian researchers involved in the project are members from several institutions among which: LNCC (Laboratório Nacional de Computação Científica), COPPE-UFRJ (Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia/Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering, Universidade Federal do Rio de Janeiro) and INF-UFRGS (Instituto de Informática, Universidade Federal do Rio Grande do Sul).

The HOSCAR project is a CNPq - INRIA collaborative project between Brazilian and French researchers, in the field of computational sciences. The project is also sponsored by the French Embassy in Brazil.

The general objective of the project is to setup a multidisciplinary Brazil-France collaborative effort for taking full benefits of future high-performance massively parallel architectures. The targets are the very large-scale datasets and numerical simulations relevant to a selected set of applications in natural sciences: (i) resource prospection, (ii) reservoir simulation, (iii) ecological modeling, (iv) astronomy data management, and (v) simulation data management. The project involves computer scientists and numerical mathematicians divided in 3 fundamental research groups: (i) numerical schemes for PDE models (Group 1), (ii) scientific data management (Group 2), and (iii) high-performance software systems (Group 3).

The HOSCAR project is a CNPq - INRIA collaborative project between Brazilian and French researchers, in the field of computational sciences. The project is also sponsored by the French Embassy in Brazil.

The general objective of the project is to setup a multidisciplinary Brazil-France collaborative effort for taking full benefits of future high-performance massively parallel architectures. The targets are the very large-scale datasets and numerical simulations relevant to a selected set of applications in natural sciences: (i) resource prospection, (ii) reservoir simulation, (iii) ecological modeling, (iv) astronomy data management, and (v) simulation data management. The project involves computer scientists and numerical mathematicians divided in 3 fundamental research groups: (i) numerical schemes for PDE models (Group 1), (ii) scientific data management (Group 2), and (iii) high-performance software systems (Group 3).\\\

dRiven by highly demanding applications

HOSCAR project home page\\\

HOSCAR project home page\\

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HOSCAR project home page\\

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dRiven by highly demanding applications

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