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Towards Exascale Parallel Delaunay Mesh Generation

  • Conference paper
Proceedings of the 18th International Meshing Roundtable

Abstract

Mesh generation is a critical component for many (bio-)engineering applications. However, parallel mesh generation codes, which are essential for these applications to take the fullest advantage of the high-end computing platforms, belong to the broader class of adaptive and irregular problems, and are among the most complex, challenging, and labor intensive to develop and maintain. As a result, parallel mesh generation is one of the last applications to be installed on new parallel architectures. In this paper we present a way to remedy this problem for new highly-scalable architectures. We present a multi-layered tetrahedral/triangular mesh generation approach capable of delivering and sustaining close to 1018 of concurrent work units. We achieve this by leveraging concurrency at different granularity levels using a hybrid algorithm, and by carefully matching these levels to the hierarchy of the hardware architecture. This paper makes two contributions: (1) a new evolutionary path for developing multi-layered parallel mesh generation codes capable of increasing the concurrency of the state-of-the-art parallel mesh generation methods by at least 10 orders of magnitude and (2) a new abstraction for multi-layered runtime systems that target parallel mesh generation codes, to efficiently orchestrate intra- and inter-layer data movement and load balancing for current and emerging multi-layered architectures with deep memory and network hierarchies.

This material is based upon work supported by the National Science Foundation under Grants No. CCF-0833081, CSR-0719929, and CCS-0750901 and by the John Simon Guggenheim Foundation.

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Authors and Affiliations

  1. Center for Real-Time Computing, The College of William and Mary, Williamsburg, VA, 23185

    Nikos Chrisochoides, Andrey Chernikov, Andriy Fedorov, Andriy Kot, Leonidas Linardakis & Panagiotis Foteinos

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  1. Nikos Chrisochoides
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  2. Andrey Chernikov
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  3. Andriy Fedorov
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  4. Andriy Kot
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  5. Leonidas Linardakis
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  6. Panagiotis Foteinos
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Editors and Affiliations

  1. Sandia National Laboratories, CUBIT Project Lead, Computational Simulation Infrastructure (1543), P.O. Box 5800, 87185-1321, Albuquerque, NM, USA

    Brett W. Clark

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Chrisochoides, N., Chernikov, A., Fedorov, A., Kot, A., Linardakis, L., Foteinos, P. (2009). Towards Exascale Parallel Delaunay Mesh Generation. In: Clark, B.W. (eds) Proceedings of the 18th International Meshing Roundtable. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04319-2_19

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  • DOI: https://doi.org/10.1007/978-3-642-04319-2_19

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