A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures (2022)
- Authors:
- Autor USP: LEJBMAN, ALFREDO GOLDMAN VEL - IME
- Unidade: IME
- DOI: 10.1007/s10766-021-00721-2
- Subjects: APRENDIZADO COMPUTACIONAL; SCHEDULING
- Keywords: Heterogeneous many-core computing; Workload balance; Adaptive modeling; Machine learning assisted scheduling; Parallel computing
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Parallel Programming
- ISSN: 0885-7458
- Volume/Número/Paginação/Ano: v. 50, n. 1, p. 115-151, 2022
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: other-oa
-
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: 01 dez. 2025. -
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 2025 dez. 01 ] 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 2025 dez. 01 ] Available from: https://doi.org/10.1007/s10766-021-00721-2 - A model for parallel job schedulling on dynamical computer grids
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Informações sobre o DOI: 10.1007/s10766-021-00721-2 (Fonte: oaDOI API)
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