Synthetic seismograms generated by solving the seismic wave equation using numerical methods are being widely used in seismology.For fully three-dimensional seismic structure models,the generation of these synthetic seismograms may require large amount of computing resources.Conventional high-performance computer clusters may not provide a cost-effective solution to this type of applications.The newly emerging cloud-computing platform provides an alternative solution.In this paper,we describe our implementation of a synthetic seismogram generator based on the reciprocity principle using the Windows Azure cloud application framework.Our preliminary experiment shows that our cloud-based synthetic seismogram generator provides a costeffective and numerically efficient approach for computing synthetic seismograms based on the reciprocity principle.
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