Designing a Multicore and Multiprocessor Individual-Based Simulation Engine

Harrouet, Fabrice

doi:10.1109/mm.2011.80

Cited by 1 publication

(2 citation statements)

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“…As detailed in [22], we previously designed a simulation engine that can harness the full potential of all the Central Processing Units (CPUs) (would they be processors, physical cores, or logical cores) in a parallel computer.…”

Section: Parallel Asynchronous Schedulermentioning

confidence: 99%

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Computational Methods for the Parallel 3D Simulation of Biochemical Kinetics at the Microscopic Scale

Crépin

Harrouet

Kerdelo

et al. 2013

Bioinformatics Research and Applications

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Abstract. This work takes place in the context of biochemical kinetics simulation for the understanding of complex biological systems such as haemostasis. The classical approach, based on the numerical solving of differential systems, cannot satisfactorily handle local geometrical constraints, such as membrane binding events. To address this problem, we propose a particle-based system in which each molecular species is represented by a three-dimensional entity which diffuses and may undergo reactions. Such a system can be computationaly intensive, since a small time step and a very large number of entities are required to get significant results. Therefore, we propose a model that is suitable for parallel computing and that can especially take advantage of recent multicore and multiprocessor architectures. We present our particle-based system, detail the behaviour of our entities, and describe our parallel computing algorithms. Comparisons between simulations and theoretical results are exposed, as well as a performance evaluation of our algorithms.

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Section: Parallel Asynchronous Schedulermentioning

confidence: 99%

“…This cache-aware simulation engine shows a very good scalability related to the number of CPUs used [22]. However, it was formerly dedicated to synchronous simulations and, as stated in section 2.1, our particle-based biochemical model relies on an asynchronous scheduling scheme.…”

Section: Parallel Asynchronous Schedulermentioning

confidence: 99%