Abstract
In this work we describe a parallel implementation of the Poisson Surface Reconstruction algorithm based on multigrid domain decomposition. We compare implementations using different models of data-sharing between processors and show that a parallel implementation with distributed memory provides the best scalability. Using our method, we are able to parallelize the reconstruction of models from one billion data points on twelve processors across three machines, providing a nine-fold speedup in running time without sacrificing reconstruction accuracy. © 2009 Springer-Verlag.
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CITATION STYLE
Bolitho, M., Kazhdan, M., Burns, R., & Hoppe, H. (2009). Parallel poisson surface reconstruction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5875 LNCS, pp. 678–689). https://doi.org/10.1007/978-3-642-10331-5_63
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