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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 845-859 |
| Number of pages | 15 |
| Journal | Structural and Multidisciplinary Optimization |
| Volume | 52 |
| Issue number | 5 |
| DOIs | |
| State | Published - Nov 1 2015 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Software
- Control and Optimization
- Control and Systems Engineering
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
Keywords
- Direct solver
- Iterative solver
- Parallel solver
- Polygonal elements
- Topology optimization