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[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).]
[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 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).
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.
HOSCAR (High performance cOmputing and S Cientific? dAta management dRiven by highly demanding applications) project
[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.]\\\
HOSCAR (High performance cOmputing and SCientific dAta management dRiven by highly demanding applications) project
[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.]\\\
HOSCAR ( High performance cOmputing and S Cientific? dAta management dRiven by highly demanding applications) project\\\
HOSCAR (High performance cOmputing and S Cientific? dAta management dRiven by highly demanding applications) project\\\
HOSCAR ( High performance cOmputing and S Cientific? dAta management
dRiven by highly demanding applications) project
[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).]
[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 MORSE project is supported by the INRIA Associate Team programme. The INRIA Hipeacs and Runtime project-teams are associated with the Innovative Computing Laboratory (ICL) at University of Tennessee Knoxville, the Department of Mathematical & Statistical Sciences at the University of Colorado Denver and http://www.kaust.edu.sa/about/about.html } KAUST in order to enable advanced numerical algorithms to be executed on a scalable unified runtime system for exploiting the full potential of future exascale machines
The MORSE project is supported by the INRIA Associate Team programme. The INRIA Hipeacs and Runtime project-teams are associated with the Innovative Computing Laboratory (ICL) at University of Tennessee Knoxville, the Department of Mathematical & Statistical Sciences at the University of Colorado Denver and KAUST in order to enable advanced numerical algorithms to be executed on a scalable unified runtime system for exploiting the full potential of future exascale machines
MORSE (Matrices Over Runtime Systems @ Exascale) project\\
MORSE (Matrices Over Runtime Systems @ Exascale) project
[-The MORSE project is supported by the INRIA Associate Team programme. The INRIA Hipeacs and Runtime project-teams are associated with the Innovative Computing Laboratory (ICL) at University of Tennessee Knoxville, the Department of Mathematical & Statistical Sciences at the University of Colorado Denver and http://www.kaust.edu.sa/about/about.html } KAUST in order to enable advanced numerical algorithms to be executed on a scalable unified runtime system for exploiting the full potential of future exascale machines-]
The MORSE project is supported by the INRIA Associate Team programme. The INRIA Hipeacs and Runtime project-teams are associated with the Innovative Computing Laboratory (ICL) at University of Tennessee Knoxville, the Department of Mathematical & Statistical Sciences at the University of Colorado Denver and http://www.kaust.edu.sa/about/about.html } KAUST in order to enable advanced numerical algorithms to be executed on a scalable unified runtime system for exploiting the full potential of future exascale machines
and Runtime project-teams are associated with the Innovative Computing Laboratory (ICL) at University of Tennessee Knoxville, the Department of Mathematical & Statistical Sciences at the University of Colorado Denver and KAUST in order to enable advanced numerical algorithms to be executed on a scalable unified runtime system for exploiting the full potential of future exascale machines-]
and Runtime project-teams are associated with the Innovative Computing Laboratory (ICL) at University of Tennessee Knoxville, the Department of Mathematical & Statistical Sciences at the University of Colorado Denver and http://www.kaust.edu.sa/about/about.html } KAUST in order to enable advanced numerical algorithms to be executed on a scalable unified runtime system for exploiting the full potential of future exascale machines-]
[-The goal of Matrices Over Runtime Systems at Exascale (MORSE) project is to design dense and sparse linear algebra methods that achieve the fastest possible time to an accurate solution on large-scale multicore systems with GPU accelerators, using all the processing power that future high end systems can make available
The MORSE project is supported by the INRIA Associate Team programme. The INRIA Hipeacs
and Runtime project-teams are associated with UTK, UCD and KAUST in order to enable advanced numerical algorithms to be executed on a scalable unified runtime system for exploiting the full potential of future exascale machines
-]
The goal of Matrices Over Runtime Systems at Exascale (MORSE) project is to design dense and sparse linear algebra methods that achieve the fastest possible time to an accurate solution on large-scale multicore systems with GPU accelerators, using all the processing power that future high end systems can make available
[-The MORSE project is supported by the INRIA Associate Team programme. The INRIA Hipeacs
and Runtime project-teams are associated with the Innovative Computing Laboratory (ICL) at University of Tennessee Knoxville, the Department of Mathematical & Statistical Sciences at the University of Colorado Denver and KAUST in order to enable advanced numerical algorithms to be executed on a scalable unified runtime system for exploiting the full potential of future exascale machines-]
MORSE (Matrices Over Runtime Systems @ Exascale) Associate Team
The goal of Matrices Over Runtime Systems at Exascale (MORSE) project is to design dense and sparse linear algebra methods that achieve the fastest possible time to an accurate solution on large-scale multicore systems with GPU accelerators, using all the processing power that future high end systems can make available
MORSE (Matrices Over Runtime Systems @ Exascale) project
[-The goal of Matrices Over Runtime Systems at Exascale (MORSE) project is to design dense and sparse linear algebra methods that achieve the fastest possible time to an accurate solution on large-scale multicore systems with GPU accelerators, using all the processing power that future high end systems can make available
The MORSE project is supported by the INRIA Associate Team programme. The INRIA Hipeacs
and Runtime project-teams are associated with UTK, UCD and KAUST in order to enable advanced numerical algorithms to be executed on a scalable unified runtime system for exploiting the full potential of future exascale machines
-]
MORSE (Matrices Over Runtime Systems @ Exascale) Associate Team
MORSE (Matrices Over Runtime Systems @ Exascale) Associate Team
The goal of Matrices Over Runtime Systems at Exascale (MORSE) project is to design dense and sparse linear algebra methods that achieve the fastest possible time to an accurate solution on large-scale multicore systems with GPU accelerators, using all the processing power that future high end systems can make available
MORSE (Matrices Over Runtime Systems @ Exascale) Associate Team