A multithreaded resolution of the service selection problem based on domain decomposition and work stealing (2014)
- Authors:
- Autor USP: LEJBMAN, ALFREDO GOLDMAN VEL - IME
- Unidade: IME
- DOI: 10.1109/SCC.2014.63
- Subjects: CIÊNCIA DA COMPUTAÇÃO; ARQUITETURAS PARALELAS; PROGRAMAÇÃO PARALELA
- Keywords: work stealing; service selection; domain decomposition parallelism; constraint satisfaction
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2014
- Source:
- Título: Proceedings
- Conference titles: IEEE International Conference on Services Computing - SCC
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
NGOKO, Yanik e CERIN, Christophe e GOLDMAN, Alfredo. A multithreaded resolution of the service selection problem based on domain decomposition and work stealing. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/SCC.2014.63. Acesso em: 10 fev. 2026. -
APA
Ngoko, Y., Cerin, C., & Goldman, A. (2014). A multithreaded resolution of the service selection problem based on domain decomposition and work stealing. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SCC.2014.63 -
NLM
Ngoko Y, Cerin C, Goldman A. A multithreaded resolution of the service selection problem based on domain decomposition and work stealing [Internet]. Proceedings. 2014 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.1109/SCC.2014.63 -
Vancouver
Ngoko Y, Cerin C, Goldman A. A multithreaded resolution of the service selection problem based on domain decomposition and work stealing [Internet]. Proceedings. 2014 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.1109/SCC.2014.63 - The influence of organizational factors on inter-team knowledge sharing effectiveness in agile environments
- Improving the performance of actor model runtime environments on multicore and manycore platforms
- Towards automatic actor pinning on multi-core architectures
- A simple BSP-based model to predict execution time in GPU applications
- A comparison of GPU execution time prediction using machine learning and analytical modeling
- Message from the program committee co-chairs. [Apresentação]
- Useful statistical methods for human factors research in software engineering: a discussion on validation with quantitative data
- Trying to increase the mature use of agile practices by Group Development Psychology Training: an experiment
- Scheduling moldable BSP tasks on clouds
- Thematic series on service composition for the future internet
Informações sobre o DOI: 10.1109/SCC.2014.63 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
