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Structural and Multidisciplinary Optimization
Erschienen in: Structural and Multidisciplinary Optimization 5/2015

05.06.2015 | RESEARCH PAPER

PolyTop++: an efficient alternative for serial and parallel topology optimization on CPUs & GPUs

verfasst von: Leonardo S. Duarte, Waldemar Celes, Anderson Pereira, Ivan F. M. Menezes, Glaucio H. Paulino

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 5/2015

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Abstract

This paper presents the PolyTop++, an efficient and modular framework for parallel structural topology optimization using polygonal meshes. It consists of a C++ and CUDA (a parallel computing model for GPUs) alternative implementations of the PolyTop code by Talischi et al. (Struct Multidiscip Optim 45(3):329–357 2012b). PolyTop++ was designed to support both CPU and GPU parallel solutions. The software takes advantage of the C++ programming language and the CUDA model to design algorithms with efficient memory management, capable of solving large-scale problems, and uses its object-oriented flexibility in order to provide a modular scheme. We describe our implementation of different solvers for the finite element analysis, including both direct and iterative solvers, and an iterative ‘matrix-free’ solver; these were all implemented in serial and parallel modes, including a GPU version. Finally, we present numerical results for problems with about 40 million degrees of freedom both in 2D and 3D.
Nächster Artikel A multi-objective differential evolution approach based on ε-elimination uniform-diversity for mechanism design

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Metadaten
Titel
PolyTop++: an efficient alternative for serial and parallel topology optimization on CPUs & GPUs
verfasst von
Leonardo S. Duarte
Waldemar Celes
Anderson Pereira
Ivan F. M. Menezes
Glaucio H. Paulino
Publikationsdatum
05.06.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 5/2015
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-015-1252-x

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