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Abstract

High-performance parallel computing is having a profound impact on the size and complexity of physical problems which can be modeled. Although the learning curve in adapting to this new world of computing has been steep, more and more success stories have convinced computational scientists that parallel computing is important and is here to stay. To model complex, 3D physical systems, older paradigms of programming which were adequate in a 2D world, now become cumbersome and limiting.

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