Autotuning under tight budget constraints: a transparent design of experiments approach (2019)
- Authors:
- USP affiliated authors: LEJBMAN, ALFREDO GOLDMAN VEL - IME ; BRUEL, PEDRO HENRIQUE ROCHA - IME
- Unidade: IME
- DOI: 10.1109/CCGRID.2019.00026
- Subjects: COMPUTAÇÃO GRÁFICA; CIRCUITOS INTEGRADOS
- Keywords: autotuning; design of experiments; performance measurement
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2019
- Source:
- Título: Proceedings
- Conference titles: IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing - CCGRID
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: other-oa
-
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: 14 jan. 2026. -
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 2026 jan. 14 ] 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 2026 jan. 14 ] Available from: https://doi.org/10.1109/CCGRID.2019.00026 - Autotuning LLVM optimization passes for matrix multiplication in Rust
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Informações sobre o DOI: 10.1109/CCGRID.2019.00026 (Fonte: oaDOI API)
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