MAP - Departamento de Matemática Aplicada

Saulo Rabello Maciel de Barros

Possui graduação em Matematica Aplicada pela Universidade de São Paulo (1980), mestrado em Matemática Aplicada pela Universidade de São Paulo (1984) e doutorado em Matematica Aplicada pela Universitat Bonn (1989). É professor associado do departamento de Matemática Aplicada do IME-USP, o qual chefiou de 2000 a 2004. Foi vice-Diretor da Estação Ciência da Universidade de São Paulo de 2003 a 2005. Foi Coordenador geral do Curso de Ciências Moleculares da USP de 2008 a 2012. Coordenou a comissão do programa de Pós-Graduação em Matemática Aplicada do IME-USP de 05/2012 a 04/2016. Tem larga experiência na área de Matemática Aplicada, com ênfase em Análise Numérica, atuando principalmente nos seguintes temas: resolução numérica de EDPs , métodos multigrid, e métodos de diferenças finitas e espectrais para modelos globais de previsão do tempo. Tem contribuições na área de paralelismo e computação de alto desempenho de modelos meteorológicos, tendo sido pesquisador visitante do ECMWF e atuado como assíduo colaborador do CPTEC-INPE. (Texto informado pelo autor)

  • http://lattes.cnpq.br/0746337016670411 (28/02/2020)
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  • Endereço: Universidade de São Paulo, Instituto de Matemática e Estatística, Departamento de Matemática Aplicada. R. do Matao, 1010 C. universitaria 05508-090 - Sao Paulo, SP - Brasil Telefone: (11) 30916136 Fax: (11) 30916131
  • Grande área: Ciências Exatas e da Terra
  • Área: Matemática
  • Citações: Google Acadêmico

Produção bibliográfica

Produção técnica

Produção artística

Orientações em andamento

Supervisões e orientações concluídas

Projetos de pesquisa

Prêmios e títulos

Participação em eventos

Organização de eventos

Lista de colaborações


Produção bibliográfica

Produção técnica

Produção artística

Orientações em andamento

Supervisões e orientações concluídas

Projetos de pesquisa

  • Total de projetos de pesquisa (1)
    1. 2018-Atual. Software technologies for modelling and inversion: Optimization of finite-difference seismic wave solvers and their adjoints (Shell/ANP Project)
      Descrição: This project focus on developing a range of software technologies required for simulation and data inversion. Despite the fact that applications such as seismic imaging through data inversion predates the current surge in interest in data analytics and machine learning by many years, it remains an incredibly challenging problem due to the inherent complexity of the problem, large data volumes and high computational cost. The software required is highly specialized, both in terms of mathematics and high performance computing methods, and takes many person-years to develop. This poses a serious barrier to the development of new methods and innovation, for example to better image below salt layers commonly found off the coast of Brazil. The aim of the work proposed here is the development of specialized software technologies that can reduce the time required to develop simulation and inversion codes from years to days. High-level programming languages are designed here to enable geophysicists use their domain expertise to quickly develop and evaluate new algorithms to image challenging geological areas. The first specific objective of this workstream is to develop discretization methods for several types of partial differential equations relevant for full waveform inversion: isotropic acoustic system and anisotropic acoustic and elastic systems, with the following properties: (1) stability in the presence of high medium contrasts for long time integrations, (2) accuracy of key solution metrics, e.g. minimized dispersion errors, (3) computational efficiency. The second specific objective of this workstream is the theoretical study and implementation of both state of the art and novel optimization methods to solve the FWI problem. In particular, we will focus on the development of sharp interface models, which are relevant for geological settings presenting strong discontinuities, such as the case of delineation of salt bodies. This project is part of major Shell funded project for software technologies for modelling and inversion, consisting of 11 principal investigators and a total of 64 participants. The general coordinator of the project is Dr. Bruno Souza Carmo, from Escola Politécnica da USP and the project is hosted at RCGI (Research Center for Gas Inovation) from Poli-USP. Coordinator of the work stream considered here: Saulo R. M. Barros Principal investigators: Antoine Laurain, Pedro S. Peixoto. Situação: Em andamento; Natureza: Pesquisa. Alunos envolvidos: Mestrado acadêmico: (3) Doutorado: (3) . Integrantes: Saulo Rabello Maciel de Barros - Coordenador / Peixoto, Pedro S. - Integrante / Antoine Laurain - Integrante.
      Membro: Saulo Rabello Maciel de Barros.
      Descrição: This project focus on developing a range of software technologies required for simulation and data inversion. Despite the fact that applications such as seismic imaging through data inversion predates the current surge in interest in data analytics and machine learning by many years, it remains an incredibly challenging problem due to the inherent complexity of the problem, large data volumes and high computational cost. The software required is highly specialized, both in terms of mathematics and high performance computing methods, and takes many person-years to develop. This poses a serious barrier to the development of new methods and innovation, for example to better image below salt layers commonly found off the coast of Brazil. The aim of the work proposed here is the development of specialized software technologies that can reduce the time required to develop simulation and inversion codes from years to days. High-level programming languages are designed here to enable geophysicists use their domain expertise to quickly develop and evaluate new algorithms to image challenging geological areas. The first specific objective of this workstream is to develop discretization methods for several types of partial differential equations relevant for full waveform inversion: isotropic acoustic system and anisotropic acoustic and elastic systems, with the following properties: (1) stability in the presence of high medium contrasts for long time integrations, (2) accuracy of key solution metrics, e.g. minimized dispersion errors, (3) computational efficiency. The second specific objective of this workstream is the theoretical study and implementation of both state of the art and novel optimization methods to solve the FWI problem. In particular, we will focus on the development of sharp interface models, which are relevant for geological settings presenting strong discontinuities, such as the case of delineation of salt bodies. This project is part of major Shell funded project for software technologies for modelling and inversion, consisting of 11 principal investigators and a total of 64 participants.. Situação: Em andamento; Natureza: Pesquisa. Alunos envolvidos: Mestrado acadêmico: (3) Doutorado: (3) . Integrantes: Pedro da Silva Peixoto - Integrante / Saulo Rabello Maciel de Barros - Coordenador / Antoine Laurain - Integrante. Financiador(es): Shell Brasil - Matriz - Outra.
      Membro: Pedro da Silva Peixoto.
      Descrição: This project focus on developing a range of software technologies required for simulation and data inversion. Despite the fact that applications such as seismic imaging through data inversion predates the current surge in interest in data analytics and machine learning by many years, it remains an incredibly challenging problem due to the inherent complexity of the problem, large data volumes and high computational cost. The software required is highly specialized, both in terms of mathematics and high performance computing methods, and takes many person-years to develop. This poses a serious barrier to the development of new methods and innovation, for example to better image below salt layers commonly found off the coast of Brazil. The aim of the work proposed here is the development of specialized software technologies that can reduce the time required to develop simulation and inversion codes from years to days. High-level programming languages are designed here to enable geophysicists use their domain expertise to quickly develop and evaluate new algorithms to image challenging geological areas. The first specific objective of this workstream is to develop discretization methods for several types of partial differential equations relevant for full waveform inversion: isotropic acoustic system and anisotropic acoustic and elastic systems, with the following properties: (1) stability in the presence of high medium contrasts for long time integrations, (2) accuracy of key solution metrics, e.g. minimized dispersion errors, (3) computational efficiency. The second specific objective of this workstream is the theoretical study and implementation of both state of the art and novel optimization methods to solve the FWI problem. In particular, we will focus on the development of sharp interface models, which are relevant for geological settings presenting strong discontinuities, such as the case of delineation of salt bodies. This project is part of major Shell funded project for software technologies for modelling and inversion, consisting of 11 principal investigators and a total of 64 participants. Saulo R.M. Barros - Coordinator, Antoine Laurain - Principal Investigator, Pedro S. Peixoto - Principal Investigator. Post-docs: 1. PhD students: 3. MSc students: 3.. Situação: Em andamento; Natureza: Pesquisa. Alunos envolvidos: Graduação: (3) / Mestrado acadêmico: (3) / Doutorado: (3) . Integrantes: Antoine Laurain - Integrante / Saulo Rabello Maciel de Barros - Coordenador / Pedro da Silva Peixoto - Integrante. Financiador(es): Agência Nacional do Petróleo - Outra.Número de orientações: 1
      Membro: Antoine Laurain.

Prêmios e títulos

  • Total de prêmios e títulos (0)

    Participação em eventos

    • Total de participação em eventos (0)

      Organização de eventos

      • Total de organização de eventos (0)

        Lista de colaborações



        (*) Relatório criado com produções desde 2000 até 2020
        Data de processamento: 13/07/2020 16:09:00