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Filtros : "LEJBMAN, ALFREDO GOLDMAN VEL" "Indexado na Web of Science" Removido: "Proceedings" Limpar

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  • Artigo de periodico-carta/editorial

    Computer architecture and high performance computing. [Editorial] (2017)

    Goldman, Alfredo ; Arantes, Luciana; Moreno, Edward

    Source: Concurrency and Computation: Practice and Experience. Unidade: IME

    Subjects: CIÊNCIA DA COMPUTAÇÃO, REDES DE COMPUTADORES, COMPUTAÇÃO APLICADA

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    • ABNT

      GOLDMAN, Alfredo e ARANTES, Luciana e MORENO, Edward. Computer architecture and high performance computing. [Editorial]. Concurrency and Computation: Practice and Experience. Chichester: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1002/cpe.4348. Acesso em: 28 nov. 2025. , 2017

    • APA

      Goldman, A., Arantes, L., & Moreno, E. (2017). Computer architecture and high performance computing. [Editorial]. Concurrency and Computation: Practice and Experience. Chichester: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1002/cpe.4348

    • NLM

      Goldman A, Arantes L, Moreno E. Computer architecture and high performance computing. [Editorial] [Internet]. Concurrency and Computation: Practice and Experience. 2017 ; 29( 22): 1-4.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1002/cpe.4348

    • Vancouver

      Goldman A, Arantes L, Moreno E. Computer architecture and high performance computing. [Editorial] [Internet]. Concurrency and Computation: Practice and Experience. 2017 ; 29( 22): 1-4.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1002/cpe.4348

  • Artigo de periodico

    Autotuning CUDA compiler parameters for heterogeneous applications using the OpenTuner framework (2017)

    Bruel, Pedro; Amarís, Marcos; Goldman, Alfredo

    Source: Concurrency and Computation: Practice and Experience. Unidade: IME

    Assunto: COMPUTAÇÃO GRÁFICA

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    • ABNT

      BRUEL, Pedro e AMARÍS, Marcos e GOLDMAN, Alfredo. Autotuning CUDA compiler parameters for heterogeneous applications using the OpenTuner framework. Concurrency and Computation: Practice and Experience, v. 29, n. 22, p. 1-15, 2017Tradução . . Disponível em: https://doi.org/10.1002/cpe.3973. Acesso em: 28 nov. 2025.

    • APA

      Bruel, P., Amarís, M., & Goldman, A. (2017). Autotuning CUDA compiler parameters for heterogeneous applications using the OpenTuner framework. Concurrency and Computation: Practice and Experience, 29( 22), 1-15. doi:10.1002/cpe.3973

    • NLM

      Bruel P, Amarís M, Goldman A. Autotuning CUDA compiler parameters for heterogeneous applications using the OpenTuner framework [Internet]. Concurrency and Computation: Practice and Experience. 2017 ; 29( 22): 1-15.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1002/cpe.3973

    • Vancouver

      Bruel P, Amarís M, Goldman A. Autotuning CUDA compiler parameters for heterogeneous applications using the OpenTuner framework [Internet]. Concurrency and Computation: Practice and Experience. 2017 ; 29( 22): 1-15.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1002/cpe.3973
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