|Appears in Collections:||Computing Science and Mathematics Book Chapters and Sections|
|Title:||Modelling Infection Dynamics on Multi-cores: Exploring Parallel Efficient Simulations for the Stochastic Modelling of Bio Systems|
|Citation:||Bracciali A (2010) Modelling Infection Dynamics on Multi-cores: Exploring Parallel Efficient Simulations for the Stochastic Modelling of Bio Systems. In: Monfardini S (ed.) HPC-Europa 2 Science and Supercomputing in Europe - research highlights 2010. HPC-Europa 2 Science and Supercomputing in Europe - research highlights. Bologna: CINECA Consorzio Interuniversitario, p. 113. http://www.hpc-europa.eu/?q=node/119|
|Series/Report no.:||HPC-Europa 2 Science and Supercomputing in Europe - research highlights|
|Abstract:||Computational approaches to immunology represent an important area of Systems Biology aimed at supporting in-sillico experiments, which will eventually facilitate the engineering of synthetic immune responses. In this broader context, we have explored the possibility of exploiting a novel parallel programming technique for speeding up stochastic simulations of some aspects of the interplay between the immune response for the HIV infection.|
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|Modelling Infection.pdf||Fulltext - Published Version||276.06 kB||Adobe PDF||Under Embargo until 3000-12-01 Request a copy|
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