Abstract
In the last few years advances in compute speeds have plateaued and multi/parallel processing (MPP) has been the way forward. With the advent of multiple processor cores packaged within a single microchip the architectures that were restricted to large servers has crossed over into consumer workstations. Now, more than ever, an understanding of how to maximize computational work is needed. The design and implementation of a Cloud based parallel-compute cluster for very large-scale processing of underwater acoustic models is presented. Ray-based, parabolic equation and wave number integration models were evaluated. This type of system allows for the creation of real-world sized solution sets which were previously prohibitive for most researchers. This is mainly due to their excessively long runtimes or being restricted to gated hardware, such as super-computer systems. Amazon Web Services is used as the underlying technologies for the creation of the Cloud based parallel-computer cluster, but the principles discussed are universal and may be applied to any MPP system. [Work supported by the Office of Naval Research.]
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