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Medical applications are compute and data intensive applications. The complex mathematical models and differential equations in the medical domain require huge computations. Cardiac simulation is one example of such compute-intensive application. In this work, we present an evaluation study for porting the cardiac simulator to the high performance GPUs accelerators. We also conducted a comparative...
Many geophysical problems are computationally expensive owing to their iterative nature or due to the programs processing to large datasets. Such problems are challenging and have to be approached with extreme caution because a wrong parameter selection will not only lead to wrong results but will also take up a lot of time. The Compute Unified Device Architecture (CUDA) introduced by NVIDIA has enabled...
Computational modeling of cardiac electrophysiology is a powerful tool for studying arrhythmia mechanisms. In particular, cardiac models are useful for gaining insights into experimental studies, and in the foreseeable future they will be used by clinicians to improve therapy for the patients suffering from complex arrhythmias. Such models are highly intricate, both in their geometric structure and...
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