PDAWL: profile-based iterative dynamic adaptive workload balance on heterogeneous architectures (2020)
- Authors:
- Autor USP: LEJBMAN, ALFREDO GOLDMAN VEL - IME
- Unidade: IME
- DOI: 10.1007/978-3-030-63171-0_8
- Subjects: MÉTODOS ITERATIVOS; SCHEDULING
- Keywords: heterogeneous many-core computing; workload balance; adaptive modeling; Ml assisted scheduling
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Workshop on Job Scheduling Strategies for Parallel Processing - JSSPP
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
GENG, Tongsheng et al. PDAWL: profile-based iterative dynamic adaptive workload balance on heterogeneous architectures. 2020, Anais.. Cham: Springer, 2020. Disponível em: https://doi.org/10.1007/978-3-030-63171-0_8. Acesso em: 23 fev. 2026. -
APA
Geng, T., Amarís, M., Zuckerman, S., Goldman, A., Gao, G. R., & Gaudiot, J. -L. (2020). PDAWL: profile-based iterative dynamic adaptive workload balance on heterogeneous architectures. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-63171-0_8 -
NLM
Geng T, Amarís M, Zuckerman S, Goldman A, Gao GR, Gaudiot J-L. PDAWL: profile-based iterative dynamic adaptive workload balance on heterogeneous architectures [Internet]. Proceedings. 2020 ;[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/978-3-030-63171-0_8 -
Vancouver
Geng T, Amarís M, Zuckerman S, Goldman A, Gao GR, Gaudiot J-L. PDAWL: profile-based iterative dynamic adaptive workload balance on heterogeneous architectures [Internet]. Proceedings. 2020 ;[citado 2026 fev. 23 ] Available from: https://doi.org/10.1007/978-3-030-63171-0_8 - The influence of organizational factors on inter-team knowledge sharing effectiveness in agile environments
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Informações sobre o DOI: 10.1007/978-3-030-63171-0_8 (Fonte: oaDOI API)
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