Multi-GPU acceleration of large-scale density-based topology optimization
Abstract
This work presents a parallel implementation of density-based topology optimization using distributed GPU computing systems. The use of multiple GPU devices allows us accelerating the computing process and increasing the device memory available for GPU computing. This increment of device memory enables us to address large models that commonly do not fit into one GPU device. The most modern scientific computers incorporate these devices to design...
Paper Details
Title
Multi-GPU acceleration of large-scale density-based topology optimization
Published Date
Jul 1, 2021
Volume
157-158
Pages
103006 - 103006
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