In the last years, the use of Graphical Processing Units (GPUs) has witnessed ever growing applications for different computational analyses in the field of Life Sciences. In this work we present a CUDA-powered computational tool for the simulation of biological models defined as systems of mixed ordinary differential equations, based on both mass-action kinetics and Hill functions. The tool, named coagSODA, was purposely developed and applied for the analysis of a large model of the blood coagulation cascade. We present the biological results of a parameter sweep analysis of this model, and show that GPU can boost the computational performances up to 177× speedup.
Modeling and simulation of the blood coagulation cascade
BELLINI, Matteo;CAZZANIGA, Paolo;
2014-01-01
Abstract
In the last years, the use of Graphical Processing Units (GPUs) has witnessed ever growing applications for different computational analyses in the field of Life Sciences. In this work we present a CUDA-powered computational tool for the simulation of biological models defined as systems of mixed ordinary differential equations, based on both mass-action kinetics and Hill functions. The tool, named coagSODA, was purposely developed and applied for the analysis of a large model of the blood coagulation cascade. We present the biological results of a parameter sweep analysis of this model, and show that GPU can boost the computational performances up to 177× speedup.File | Dimensione del file | Formato | |
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