In order to achieve realistic cohesive fracture simulation, a parallel computational framework is developed in conjunction with the parallel topology based data structure (ParTopS). Communications with remote partitions are performed by employing proxy nodes, proxy elements and ghost nodes, while synchronizations are identified on the basis of computational patterns (at-node, at-element, nodes-to-element, and elements-to-node). Several approaches to parallelize a serial code are discussed. An approach combining local computations and replicated computations with stable iterators is proposed, which is shown to be the most efficient one among the approaches discussed in this study. Furthermore, computational experiments demonstrate the scalability of the parallel dynamic fracture simulation framework for both 2D and 3D problems. The total execution time of a test problem remains nearly constant when the number of processors increases at the same rate as the number of elements.
|Number of pages||18|
|Journal||Computer Methods in Applied Mechanics and Engineering|
|Publication status||Published - 2013 Nov 1|
Bibliographical noteFunding Information:
We acknowledge support from the US National Science Foundation (NSF) through Grant CMMI #1321661 . This work used TeraGrid Resources under Grant TG-ASC050039N . RE and WC thank CNPq (Brazilian National Research and Development Council) for the financial support to conduct this research. GHP is thankful to the Donald B. and Elisabeth M. Willett endowment at the University of Illinois at Urbana-Champaign (UIUC). KP acknowledges support from the National Research Foundation (NRF) of Korea through Grant #2011-0013393 . The authors would also like to extend their appreciation to Ms. Sofie Leon for her invaluable input to this publication. The information presented in this paper is the sole opinion of the authors and does not necessarily reflect the views of the sponsoring agencies.
All Science Journal Classification (ASJC) codes
- Computational Mechanics
- Mechanics of Materials
- Mechanical Engineering
- Physics and Astronomy(all)
- Computer Science Applications