@misc{10481/59743,
year = {2019},
url = {http://hdl.handle.net/10481/59743},
abstract = {In this paper, we propose a parallel cellular automaton tumor growth model that includes load balancing of
cells distribution among computational threads with the introduction of adjusting parameters. The obtained
results show a fair reduction in execution time and improved speedup compared with the sequential tumor
growth simulation program currently referenced in tumoral biology. The dynamic data structures of the model
can be extended to address additional tumor growth characteristics such as angiogenesis and nutrient intake
dependencies},
publisher = {Walter de Gruyter GmbH},
keywords = {Cellular Automaton},
keywords = {High-performance computing},
keywords = {Mathematical Oncology},
keywords = {Tumoral Growth Simulation},
keywords = {Parallel programming},
title = {Dynamic Load Balancing Strategy for Parallel Tumor Growth Simulations},
doi = {10.1515/jib-2018-0066},
author = {Salguero, Alberto G. and Tomeu Hardasmal, Antonio J. and Capel Tuñón, Manuel Isidoro},
}