Over the last few years, computer models have become valuable tools for the understanding of the multi-scale and multi-physics phenomena that underlie the complex biophysical structures and processes of the heart. Our current computational models track the electro-mechanics of the heart from sub-cellular to the whole-organ level. Therefore, the models allow a better comprehension of important cardiac diseases, such as Ventricular Arrhythmia, Myocarditis, Infarct, Chagas Disease, Diabetes, etc. In addition, the cardiac response to drugs can also be better quantified. A single heart beat can be computed in 10 hours, when running in a 64-node cluster. However, model parameter studies as well as associated inverse problems will demand thousands of single-beat simulations. This would only be feasible today in a Grid environment.
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