Research Article
insilicoSim: an extendable engine for parallel heterogeneous biophysical simulations
@INPROCEEDINGS{10.4108/ICST.SIMUTOOLS2010.8634, author={Eric M. Heien and Masao Okita and Yoshiyuki Asai and Taishin Nomura and Kenichi Hagihara}, title={insilicoSim: an extendable engine for parallel heterogeneous biophysical simulations}, proceedings={3rd International ICST Conference on Simulation Tools and Techniques}, publisher={ICST}, proceedings_a={SIMUTOOLS}, year={2010}, month={5}, keywords={biophysical simulation biological simulation biological modeling extendable simulation parallel computing}, doi={10.4108/ICST.SIMUTOOLS2010.8634} }
- Eric M. Heien
Masao Okita
Yoshiyuki Asai
Taishin Nomura
Kenichi Hagihara
Year: 2010
insilicoSim: an extendable engine for parallel heterogeneous biophysical simulations
SIMUTOOLS
ICST
DOI: 10.4108/ICST.SIMUTOOLS2010.8634
Abstract
Recently, several multidisciplinary projects have begun to model and simulate human physiological systems. However, the simulators for these models are often limited in terms of simulation type and lack of parallel computing support. In this paper we describe insilicoSim, an extendable simu- lation engine for performing parallel large scale biophysical simulations. We present three key components of the sim- ulator for improving extensibility and performance. First, we demonstrate how a standardized plugin interface allows for easy extension of the simulator to new types of input, output and simulation methods. We detail a technique for improving simulation performance by simplifying and com- piling simulation related mathematical expressions into an internal byte code representation for fast evaluation. Fi- nally, we describe the simulation object manager which al- lows for shared object access between simulation interfaces while transparently performing parallel synchronization. We demonstrate the effectiveness of these methods by simulat- ing several models on both serial and parallel computing platforms