A parallel accelerated adaptive mesh algorithm for the solution of electrical models of the heart

التفاصيل البيبلوغرافية
العنوان: A parallel accelerated adaptive mesh algorithm for the solution of electrical models of the heart
المؤلفون: Rodrigo Weber dos Santos, Wagner Meira, Bernardo Martins Rocha, Rafael Sachetto Oliveira, Denise Burgarelli
المصدر: International Journal of High Performance Systems Architecture. 4:89
بيانات النشر: Inderscience Publishers, 2012.
سنة النشر: 2012
مصطلحات موضوعية: Wavefront, Computational model, Finite volume method, Partial differential equation, Discretization, Hardware and Architecture, Computer science, Cardiac electrophysiology, Quantitative Biology::Tissues and Organs, Polygon mesh, Fraction (mathematics), Algorithm
الوصف: Computer models have become valuable tools for the study and comprehension of the complex phenomena of cardiac electrophysiology. However, the high complexity of the biophysical processes translates into complex mathematical and computational models. In this paper, we evaluate a parallel numerical algorithm based on mesh adaptivity and finite volume method aiming to accelerate these simulations. This is a very attractive approach since the spreading electrical wavefront corresponds only to a small fraction of the cardiac tissue. Usually, the numerical solution of the partial differential equations that model the phenomenon requires very fine spatial discretisation to follow the wavefront, which is approximately 0.2 mm. The use of uniform meshes leads to high computational cost as it requires a large number of mesh points. In this sense, the tests reported in this work show that simulations of two-dimensional models of cardiac tissue have been accelerated by more than 340 times using the adaptive mesh algorithm and parallel computing, with no significant loss in accuracy.
تدمد: 1751-6536
1751-6528
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::41199f6166c9b882df327d46dac34533Test
https://doi.org/10.1504/ijhpsa.2012.050988Test
رقم الانضمام: edsair.doi...........41199f6166c9b882df327d46dac34533
قاعدة البيانات: OpenAIRE