A Batch Task Migration Approach for Decentralized Global Rescheduling. - Vinicius Freitas; Alexandre de Limas Santana; Márcio Castro 001; Laércio Lima Pilla (SBAC-PAD, 2018)

Reducing Global Schedulers Complexity through Runtime System Decoupling. - Alexandre de Limas Santana; Vinicius Freitas; Laércio Lima Pilla; Márcio Castro 001; Jean-François Méhaut (WSCAD, 2018)

Distributed Memory Graph Representation for Load Balancing Data: Accelerating Data Structure Generation for Decentralized Scheduling. - Vinicius Freitas; Alexandre de Limas Santana; Márcio Castro 001; Laércio Lima Pilla (HPCS, 2019)

Adaptive Load Balancing based on Machine Learning for Iterative Parallel Applications. - C. R. Anna Victoria Oikawa; Vinicius Freitas; Márcio Castro 001; Laércio Lima Pilla (PDP, 2020)

A Methodology for Providing Encrypted-Content Decoding in DTV Play. - Jônatas Rech; Vinícius Freitas; Bruno Farias 001; Eddie Batista de Lima Filho; Jeferson B. da Costa; Ivo Machado; Xianpan Chen; Claudio Pinheiro; Daniel Xavier (ICCE, 2021)

A&B Game Jam - Enhancing the Online Game Jam Experience With Milestones. - Mateus Camara; Márcio Oyamada; Daniel Boll; Davi Giacomel; Felipi Matozinho; Gustavo Nomelini; Igor Negrizoli; Leonardo Vanzin; Lucas Amorim; Lucas Sá; Marco Damo; Mateus Silveira; et al. (ICGJ, 2021)

PackStealLB: A scalable distributed load balancer based on work stealing and workload discretization. - Vinicius Freitas; Laércio Lima Pilla; Alexandre de Limas Santana; Márcio Castro 001; Johanne Cohen (J. Parallel Distributed Comput., 2021)

ARTful: A model for user-defined schedulers targeting multiple high-performance computing runtime systems. - Alexandre de Limas Santana; Vinicius Freitas; Márcio Castro 001; Laércio Lima Pilla; Jean-François Méhaut (Softw. Pract. Exp., 2021)