M-Flash: fast billion-scale graph computation using a bimodal block processing model (2016)
Gualdron, Hugo; Cordeiro, Robson Leonardo Ferreira 
; Rodrigues Junior, José Fernando; Chau, Duen Horng (Polo); Kahng, Minsuk; Kang, U
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD. Unidade: ICMC
Assuntos: COMPUTAÇÃO GRÁFICA, REDES COMPLEXAS, MINERAÇÃO DE DADOS, ALGORITMOS GRÁFICOS
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ABNT
GUALDRON, Hugo et al. M-Flash: fast billion-scale graph computation using a bimodal block processing model. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-46227-1_39. Acesso em: 24 maio 2024. , 2016APA
Gualdron, H., Cordeiro, R. L. F., Rodrigues Junior, J. F., Chau, D. H. (P. ), Kahng, M., & Kang, U. (2016). M-Flash: fast billion-scale graph computation using a bimodal block processing model. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-319-46227-1_39NLM
Gualdron H, Cordeiro RLF, Rodrigues Junior JF, Chau DH (P), Kahng M, Kang U. M-Flash: fast billion-scale graph computation using a bimodal block processing model [Internet]. Lecture Notes in Artificial Intelligence. 2016 ; 9852 623-640.[citado 2024 maio 24 ] Available from: https://doi.org/10.1007/978-3-319-46227-1_39Vancouver
Gualdron H, Cordeiro RLF, Rodrigues Junior JF, Chau DH (P), Kahng M, Kang U. M-Flash: fast billion-scale graph computation using a bimodal block processing model [Internet]. Lecture Notes in Artificial Intelligence. 2016 ; 9852 623-640.[citado 2024 maio 24 ] Available from: https://doi.org/10.1007/978-3-319-46227-1_39
