Grid computing services for parallel algorithms in medicine and biology
Dragoș Arotăriței, Marius Alexandru Turnea, Marius Cristian Toma, Radu Ciorap, Mihai Ilea · 2008
Abstract:- The compartmental models using differential equations are basic models in epidemiology. The temporal evolution of spatial models for epidemic spreading is suitable for parallelization and GRID services are solutions for speeding the algorithms used in these models. We investigate several computational aspects of parallel algorithms used in cellular automata model and small world networks model. The four compartmental small world network model of disease propagation (SEIR) is parallelized. In the second application, we have found an asymptotic solution of zero degree for a nonlinear differential parabolic equations system with a unique, small parameter, in a cancerous disease model. We got a cancerous cells density using simulation in three stages according with some system parameter value. Grid service has been constructed for these numeric simulations. Key-Words:- Epidimiological models, cancerous cells density, parallel algorithms, high performance computing 1