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 
Fonte: Proceedings. Nome do evento: IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing - CCGRID. Unidade: IME
Assuntos: COMPUTAÇÃO GRÁFICA, CIRCUITOS INTEGRADOS
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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: 08 out. 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.2019.00026NLM
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 out. 08 ] Available from: https://doi.org/10.1109/CCGRID.2019.00026Vancouver
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 out. 08 ] Available from: https://doi.org/10.1109/CCGRID.2019.00026
