Filtros : "Parallel computing" Removido: "PROGRAMAÇÃO PARALELA" Limpar

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  • Source: International Journal of Parallel Programming. Unidade: IME

    Subjects: APRENDIZADO COMPUTACIONAL, SCHEDULING

    Versão AceitaAcesso à fonteDOIHow to cite
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    • ABNT

      GENG, Tongsheng et al. A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures. International Journal of Parallel Programming, v. 50, n. 1, p. 115-151, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10766-021-00721-2. Acesso em: 29 abr. 2026.
    • APA

      Geng, T., Amarís, M., Zuckerman, S., Goldman, A., Gao, G. R., & Gaudiot, J. -L. (2022). A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures. International Journal of Parallel Programming, 50( 1), 115-151. doi:10.1007/s10766-021-00721-2
    • NLM

      Geng T, Amarís M, Zuckerman S, Goldman A, Gao GR, Gaudiot J-L. A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures [Internet]. International Journal of Parallel Programming. 2022 ; 50( 1): 115-151.[citado 2026 abr. 29 ] Available from: https://doi.org/10.1007/s10766-021-00721-2
    • Vancouver

      Geng T, Amarís M, Zuckerman S, Goldman A, Gao GR, Gaudiot J-L. A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures [Internet]. International Journal of Parallel Programming. 2022 ; 50( 1): 115-151.[citado 2026 abr. 29 ] Available from: https://doi.org/10.1007/s10766-021-00721-2
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Computational Science - ICCS. Unidade: ICMC

    Subjects: ALGORITMOS ÚTEIS E ESPECÍFICOS, COMPUTAÇÃO GRÁFICA, BENCHMARKS, ROBÓTICA

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    • ABNT

      SALDANHA, Matheus Henrique Junqueira e SOUZA, Paulo Sérgio Lopes de. High performance algorithms for counting collisions and pairwise interactions. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-22734-0_14. Acesso em: 29 abr. 2026. , 2019
    • APA

      Saldanha, M. H. J., & Souza, P. S. L. de. (2019). High performance algorithms for counting collisions and pairwise interactions. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-22734-0_14
    • NLM

      Saldanha MHJ, Souza PSL de. High performance algorithms for counting collisions and pairwise interactions [Internet]. Lecture Notes in Computer Science. 2019 ; 11536 182-196.[citado 2026 abr. 29 ] Available from: https://doi.org/10.1007/978-3-030-22734-0_14
    • Vancouver

      Saldanha MHJ, Souza PSL de. High performance algorithms for counting collisions and pairwise interactions [Internet]. Lecture Notes in Computer Science. 2019 ; 11536 182-196.[citado 2026 abr. 29 ] Available from: https://doi.org/10.1007/978-3-030-22734-0_14
  • Source: Partitional clustering algorithms. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, FUZZY (INTELIGÊNCIA ARTIFICIAL)

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    • ABNT

      VENDRAMIN, L e NALDI, M. C e CAMPELLO, Ricardo José Gabrielli Barreto. Fuzzy clustering algorithms and validity indices for distributed data. Partitional clustering algorithms. Tradução . Cham: Springer, 2015. . Disponível em: https://doi.org/10.1007/978-3-319-09259-1_5. Acesso em: 29 abr. 2026.
    • APA

      Vendramin, L., Naldi, M. C., & Campello, R. J. G. B. (2015). Fuzzy clustering algorithms and validity indices for distributed data. In Partitional clustering algorithms. Cham: Springer. doi:10.1007/978-3-319-09259-1_5
    • NLM

      Vendramin L, Naldi MC, Campello RJGB. Fuzzy clustering algorithms and validity indices for distributed data [Internet]. In: Partitional clustering algorithms. Cham: Springer; 2015. [citado 2026 abr. 29 ] Available from: https://doi.org/10.1007/978-3-319-09259-1_5
    • Vancouver

      Vendramin L, Naldi MC, Campello RJGB. Fuzzy clustering algorithms and validity indices for distributed data [Internet]. In: Partitional clustering algorithms. Cham: Springer; 2015. [citado 2026 abr. 29 ] Available from: https://doi.org/10.1007/978-3-319-09259-1_5

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