Improving Constraint Solving on Parallel Hybrid Systems

Pedro Roque; Vasco Pedro; Daniel Diaz; Salvador Abreu

doi:10.1109/ictai.2018.00114

Conference Papers Year :

Improving Constraint Solving on Parallel Hybrid Systems

(1) , (1) , (2) , (1)

1
2

Pedro Roque

Function : Author

University of Évora [Portugal]

Vasco Pedro

Function : Author

University of Évora [Portugal]

Daniel Diaz

Function : Author
PersonId : 177531
IdHAL : daniel-diaz
ORCID : 0000-0002-2700-2271
IdRef : 069722358

Centre de Recherche en Informatique de Paris 1

CV

Salvador Abreu

Function : Author

University of Évora [Portugal]

Domains

Computer Science [cs] Distributed, Parallel, and Cluster Computing [cs.DC] Computer Science [cs] Artificial Intelligence [cs.AI] Computer Science [cs] Discrete Mathematics [cs.DM]

Daniel Diaz : Connect in order to contact the contributor

https://hal-paris1.archives-ouvertes.fr/hal-02296435

Submitted on : Wednesday, September 25, 2019-11:12:41 AM

Last modification on : Friday, April 29, 2022-10:12:50 AM

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hal-02296435 , version 1 (25-09-2019)

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HAL Id : hal-02296435 , version 1
DOI : 10.1109/ictai.2018.00114

Cite

Pedro Roque, Vasco Pedro, Daniel Diaz, Salvador Abreu. Improving Constraint Solving on Parallel Hybrid Systems. 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2018, Volos, Greece. pp.726-732, ⟨10.1109/ictai.2018.00114⟩. ⟨hal-02296435⟩

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Improving Constraint Solving on Parallel Hybrid Systems

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