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Book Chapter

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

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.

Keywords
; Immunoinformatics

StatusPublished
Author(s)Bracciali, Andrea
Title of seriesHPC-Europa 2 Science and Supercomputing in Europe - research highlights
Publication date31/12/2010
URLhttp://hdl.handle.net/1893/3566
PublisherCINECA Consorzio Interuniversitario
Publisher URLhttp://www.hpc-europa.eu/?q=node/119
Place of publicationBologna
ISBN978-88-86037-24-2
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