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Filtros : "COMPUTAÇÃO GRÁFICA" "BRUEL, PEDRO HENRIQUE ROCHA" Limpar

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  • Trabalho de evento

    Autotuning under tight budget constraints: a transparent design of experiments approach (2019)

    Bruel, Pedro; Masnada, Steven Quinito; Videau, Brice; Legrand, Arnaud; Vincent, Jean-Marc; Goldman, Alfredo

    Source: Proceedings. Conference titles: IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing - CCGRID. Unidade: IME

    Subjects: COMPUTAÇÃO GRÁFICA, CIRCUITOS INTEGRADOS

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      BRUEL, Pedro et al. Autotuning under tight budget constraints: a transparent design of experiments approach. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/CCGRID.2019.00026. Acesso em: 09 nov. 2025.

    • APA

      Bruel, P., Masnada, S. Q., Videau, B., Legrand, A., Vincent, J. -M., & Goldman, A. (2019). Autotuning under tight budget constraints: a transparent design of experiments approach. In Proceedings. Piscataway: IEEE. doi:10.1109/CCGRID.2019.00026

    • NLM

      Bruel P, Masnada SQ, Videau B, Legrand A, Vincent J-M, Goldman A. Autotuning under tight budget constraints: a transparent design of experiments approach [Internet]. Proceedings. 2019 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.1109/CCGRID.2019.00026

    • Vancouver

      Bruel P, Masnada SQ, Videau B, Legrand A, Vincent J-M, Goldman A. Autotuning under tight budget constraints: a transparent design of experiments approach [Internet]. Proceedings. 2019 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.1109/CCGRID.2019.00026

  • 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

    PrivadoAcesso à fonteDOIHow to cite
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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: 09 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. 09 ] 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. 09 ] Available from: https://doi.org/10.1002/cpe.3973
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