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