@misc{10481/88758,
year = {2019},
month = {1},
url = {https://hdl.handle.net/10481/88758},
abstract = {Adenocarcinomas are tumors that originate in the lining epithelium of the ducts that form the endocrine glands of the human body. Infiltrating breast and one of the most frequent neoplasms among female population, and the early detection of the disease is then fundamental and, for this reason, a profound knowledge of the biology of tumor at this phase is essential. Among the distinct tools that contribute to this knowledge, computational simulation is more frequently used every day. The availability of fast and efficient computations that allow the simulation of tumor dynamics in situ, under a wide range of different parameters, is an important research topic. Based on cellular automata, this paper proposes a generic simulation model for the Adenocarcinomas In Situ (CIS). We applied it to the breast ductal adenocarcinoma in situ (DCIS), modeling our cells with the genomic load that we currently know that the tumor starts, and proposing a numerical coding method for the genome that allows efficient computational management. We propose a parallelization scheme using data parallelism, and we show the acceleration achieved in multiple nodes of our cluster of processors.},
publisher = {Springer Nature},
keywords = {Adenocarcionomas in situ},
keywords = {Cellular automaton},
keywords = {Data partition},
keywords = {Parallel processing},
keywords = {Speedup},
title = {A Parallel Cellular Automaton Model For Adenocarcinomas in Situ with Java: Study of One Case},
doi = {https://doi.org/10.1007/978-3-030-10549-5_55},
author = {Tomeu Hardasmal, Antonio J. and Salguero Hidalgo, Alberto Gabriel and Capel Tuñón, Manuel Isidoro},
}