GPU acceleration for evolutionary topology optimization of continuum structures using isosurfaces

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• 作者：Jesú ; s Martí ; nez-Frutos ; ^{jesus.martinez@upct.es} ; David Herrero-Pé ; rez ^{david.herrero@upct.es}
• 关键词：Evolutionary topology optimization ; Isosurfaces ; GPU computing ; Large scale ; Multigrid preconditioning
• 刊名：Computers & Structures
• 出版年：2017
• 出版时间：1 April 2017
• 年：2017
• 卷：182
• 期：Complete
• 页码：119-136
• 全文大小：3729 K
• 卷排序：182

文摘

Well-suited strategy for GPU computing of ESO method driven by isosurfaces is proposed. Comparison of GPU instance of PCG using Jacobi and geometric multigrid preconditioning is presented. Different granularities are used to balance the workload of CUDA threads. Significant speedups with respect to sparse-matrix CPU implementation are achieved. High resolution truss-like designs of real-world topology optimization problems are presented.