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Performing incremental dynamic analysis in parallel
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DOI：10.1016/j.compstruc.2010.08.014.png)
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Incremental dynamic analysis has recently emerged to offer comprehensive evaluation of the seismic performance of structures using multiple nonlinear dynamic analyses under scaled ground-motion records. Being computer-intensive, it can benefit from parallel processing to accelerate its application on realistic structural models. While the task-farming master-slave paradigm seems ideal, severe load imbalances arise due to analysis non-convergence at structural instability, prompting the examination of task partitioning at the level of single records or single dynamic runs. Combined with a multi-tier master-slave processor hierarchy employing dynamic task generation and self-scheduling we achieve a flexible and efficient parallel algorithm with excellent scalability. (C) 2010 Elsevier Ltd. All rights reserved.
Keyword:
Structures
Earthquake engineering
Incremental dynamic analysis
Distributed computing
Parallel processing
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