Parallelisation strategies for agent based simulation of immune systems.
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ABSTRACT: BACKGROUND:In recent years, the study of immune response behaviour using bottom up approach, Agent Based Modeling (ABM), has attracted considerable efforts. The ABM approach is a very common technique in the biological domain due to high demand for a large scale analysis tools for the collection and interpretation of information to solve biological problems. Simulating massive multi-agent systems (i.e. simulations containing a large number of agents/entities) requires major computational effort which is only achievable through the use of parallel computing approaches. RESULTS:This paper explores different approaches to parallelising the key component of biological and immune system models within an ABM model: pairwise interactions. The focus of this paper is on the performance and algorith
SUBMITTER: Kabiri Chimeh M
PROVIDER: S-EPMC6905091 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature
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