Paper Info
Title
Parallel Cellular Automaton Tumor Growth Model.
Abstract
In silico experimentation allows us to simulate the effect of different therapies by handling model parameters. Although the computational simulation of tumors is currently a well-known technique, it is however possible to contribute to its improvement by parallelizing simulations on computer systems of many and multi-cores. This work presents a proposal to parallelize a tumor growth simulation that is based on cellular automata by partitioning of the data domain and by dynamic load balancing. The initial results of this new approach show that it is possible to successfully accelerate the calculations of a known algorithm for tumor-growth.
Year
DOI
Venue
2018
10.1007/978-3-319-98702-6_21
PRACTICAL APPLICATIONS OF COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
Keywords
DocType
Volume
Cellular automaton,High performance computing,Mathematical oncology,Tumoral growth simulation,Parallel programming,Speedup
Conference
803
ISSN
Citations 
PageRank 
2194-5357
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Alberto Salguero15913.55
Manuel I. Capel25217.35
Antonio J. Tomeu311.70