Cellular automata: theory and experiment
Cellular automata: theory and experiment
Using MPI: portable parallel programming with the message-passing interface
Using MPI: portable parallel programming with the message-passing interface
Using MPI-2: Advanced Features of the Message Passing Interface
Using MPI-2: Advanced Features of the Message Passing Interface
A Mesoscopic Approach to Modeling Immunological Memory
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
Cellular automata computations and secret key cryptography
Parallel Computing - Special issue: Parallel and nature-inspired computational paradigms and applications
Cellular automaton model for railway traffic
Journal of Computational Physics
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Interactive simulation of bushfires in heterogeneous fuels
Mathematical and Computer Modelling: An International Journal
An agent-based approach to immune modelling
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
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In recent years, the study of immune response behaviour through mathematical and computational models has attracted considerable efforts. The dynamics of key cell types, and their interactions, has been a primary focus in terms of building a picture of how the immune system responds to a threat. Discrete methods, based on lattice Monte-Carlo (MC) models, with their flexibility and relative simplicity have previously been used to model the immune system behaviour. However, due to speed and memory constraints, large-scale simulations cannot be done on a single computer. Key issues in the reduction of simulation time are code optimisation and code parallelisation. In this paper, optimisation and parallelisation solutions are discussed, with reference to existing MC simulation code for dynamics of HIV infection.