https://www.overleaf.com/11702861nbytngsgvrxg
https://mathema.tician.de/dl/main.pdf
https://github.com/tiagoaoa/Sucuri/blob/master/examples/optimizaiton.py
https://bitbucket.org/flatlabs/sucuri-free
https://github.com/igormcoelho/simple-pycuda
Get submodules:
git submodule update --init --recursive
git pull --recurse-submodules
Install numpy:
pip install numpy
Cite this in your paper as:
@article{dvnd-parco2020, title = "A multi-improvement local search using dataflow and GPU to solve the minimum latency problem", journal = "Parallel Computing", pages = "102661", year = "2020", issn = "0167-8191", doi = "https://doi.org/10.1016/j.parco.2020.102661", url = "http://www.sciencedirect.com/science/article/pii/S0167819120300545", author = "Rodolfo Pereira Araujo and Igor Machado Coelho and Leandro Augusto Justen Marzulo", keywords = "Dataflow, Graphics processing unit, Metaheuristics, Local search, Variable neighborhood descent" } @conference {dvnddf-ipdps2018, author={Rodolfo Pereira Araujo and Igor Machado Coelho and Leandro A. J. Marzulo}, title={A {DVND} local search implemented on a dataflow architecture for the Minimum Latency Problem}, booktitle={7th Worksohp on Parallel Programming Models (32nd IEEE International Parallel and Distributed Processing Symposium - IPDPS 2018)}, year={2018} } @mastersthesis{dvnddf-uerj2018, author = {Rodolfo Pereira Araujo}, title = {Estratégias de exploração de vizinhança com {GPU} para problemas de otimização}, year = 2018, address = {Rio de Janeiro, RJ, Brasil}, school = {Instituto de Matemática e Estatística, Universidade do Estado do Rio de Janeiro}, Month = oct, keywords = "Dataflow, Busca Local, Meta-heurística, Graphics Processing Unit, Variable Neighborhood Descent, Meta-heuristics, Local Search", howpublished = {\url{http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=14632}} }