swMATH ID: 17735
Software Authors: Duarte LS, Celes W, Pereira A, Menezes IFM, Paulino GH
Description: PolyTop++: an efficient alternative for serial and parallel topology optimization on CPUs & GPUs. 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.
Homepage: http://link.springer.com/article/10.1007/s00158-015-1252-x
Related Software: PolyTop; CUDA; GPUTop; ParaView; PETSc; Gmsh; top.m; top88.m; Matlab; ISOGAT; PolyMat; FEAPpv; ALGENCAN; IDRStab; PolyMesher
Cited in: 6 Publications

Citations by Year