Multi-GPU Acceleration for Finite Element Analysis in Structural Mechanics
This work evaluates the computing performance of finite element analysis in structural mechanics using modern multi-GPU systems. We can avoid the usual memory limitations when using one GPU device for many-core computing using multiple GPUs for scientific computing. We use a GPU-awareness MPI approa...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/3/1095 |
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| author | David Herrero-Pérez Humberto Martínez-Barberá |
| author_facet | David Herrero-Pérez Humberto Martínez-Barberá |
| author_sort | David Herrero-Pérez |
| collection | DOAJ |
| description | This work evaluates the computing performance of finite element analysis in structural mechanics using modern multi-GPU systems. We can avoid the usual memory limitations when using one GPU device for many-core computing using multiple GPUs for scientific computing. We use a GPU-awareness MPI approach implementing a suitable smoothed aggregation multigrid for preconditioning an iterative distributed conjugate gradient solver for GPU computing. We evaluate the performance and scalability of different models, problem sizes, and computing resources. We take an efficient multi-core implementation as the reference to assess the computing performance of the numerical results. The numerical results show the advantages and limitations of using distributed many-core architectures to address structural mechanics problems. |
| format | Article |
| id | doaj-art-4434925cb6d747b6a87a88f6b6c613e2 |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-4434925cb6d747b6a87a88f6b6c613e22025-08-20T02:12:37ZengMDPI AGApplied Sciences2076-34172025-01-01153109510.3390/app15031095Multi-GPU Acceleration for Finite Element Analysis in Structural MechanicsDavid Herrero-Pérez0Humberto Martínez-Barberá1Escuela Técnica Superior de Ingeniería Industrial, Universidad Politécnica de Cartagena, Campus Muralla del Mar, 30202 Cartagena, SpainFacultad de Informática, Universidad de Murcia, 30100 Murcia, SpainThis work evaluates the computing performance of finite element analysis in structural mechanics using modern multi-GPU systems. We can avoid the usual memory limitations when using one GPU device for many-core computing using multiple GPUs for scientific computing. We use a GPU-awareness MPI approach implementing a suitable smoothed aggregation multigrid for preconditioning an iterative distributed conjugate gradient solver for GPU computing. We evaluate the performance and scalability of different models, problem sizes, and computing resources. We take an efficient multi-core implementation as the reference to assess the computing performance of the numerical results. The numerical results show the advantages and limitations of using distributed many-core architectures to address structural mechanics problems.https://www.mdpi.com/2076-3417/15/3/1095GPU computingmulti-GPU systemsstructural mechanicsalgebraic multigrid |
| spellingShingle | David Herrero-Pérez Humberto Martínez-Barberá Multi-GPU Acceleration for Finite Element Analysis in Structural Mechanics Applied Sciences GPU computing multi-GPU systems structural mechanics algebraic multigrid |
| title | Multi-GPU Acceleration for Finite Element Analysis in Structural Mechanics |
| title_full | Multi-GPU Acceleration for Finite Element Analysis in Structural Mechanics |
| title_fullStr | Multi-GPU Acceleration for Finite Element Analysis in Structural Mechanics |
| title_full_unstemmed | Multi-GPU Acceleration for Finite Element Analysis in Structural Mechanics |
| title_short | Multi-GPU Acceleration for Finite Element Analysis in Structural Mechanics |
| title_sort | multi gpu acceleration for finite element analysis in structural mechanics |
| topic | GPU computing multi-GPU systems structural mechanics algebraic multigrid |
| url | https://www.mdpi.com/2076-3417/15/3/1095 |
| work_keys_str_mv | AT davidherreroperez multigpuaccelerationforfiniteelementanalysisinstructuralmechanics AT humbertomartinezbarbera multigpuaccelerationforfiniteelementanalysisinstructuralmechanics |