Belenos: Bottleneck Evaluation to Link Biomechanics to Novel Computing Optimizations
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866912656656433152 |
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| author | Chitsaz, Hana Umeike, Johnson Namjoo, Amirmahdi Safa, Babak N. Asgari, Bahar |
| author_facet | Chitsaz, Hana Umeike, Johnson Namjoo, Amirmahdi Safa, Babak N. Asgari, Bahar |
| contents | Finite element simulations are essential in biomechanics, enabling detailed modeling of tissues and organs. However, architectural inefficiencies in current hardware and software stacks limit performance and scalability, especially for iterative tasks like material parameter identification. As a result, workflows often sacrifice fidelity for tractability. Reconfigurable hardware, such as FPGAs, offers a promising path to domain-specific acceleration without the cost of ASICs, but its potential in biomechanics remains underexplored. This paper presents Belenos, a comprehensive workload characterization of finite element biomechanics using FEBio, a widely adopted simulator, gem5 sensitivity studies, and VTune analysis. VTune results reveal that smaller workloads experience moderate front-end stalls, typically around 13.1%, whereas larger workloads are dominated by significant back-end bottlenecks, with backend-bound cycles ranging from 59.9% to over 82.2%. Complementary gem5 sensitivity studies identify optimal hardware configurations for Domain-Specific Accelerators (DSA), showing that suboptimal pipeline, memory, or branch predictor settings can degrade performance by up to 37.1%. These findings underscore the need for architecture-aware co-design to efficiently support biomechanical simulation workloads. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_15908 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Belenos: Bottleneck Evaluation to Link Biomechanics to Novel Computing Optimizations Chitsaz, Hana Umeike, Johnson Namjoo, Amirmahdi Safa, Babak N. Asgari, Bahar Hardware Architecture Finite element simulations are essential in biomechanics, enabling detailed modeling of tissues and organs. However, architectural inefficiencies in current hardware and software stacks limit performance and scalability, especially for iterative tasks like material parameter identification. As a result, workflows often sacrifice fidelity for tractability. Reconfigurable hardware, such as FPGAs, offers a promising path to domain-specific acceleration without the cost of ASICs, but its potential in biomechanics remains underexplored. This paper presents Belenos, a comprehensive workload characterization of finite element biomechanics using FEBio, a widely adopted simulator, gem5 sensitivity studies, and VTune analysis. VTune results reveal that smaller workloads experience moderate front-end stalls, typically around 13.1%, whereas larger workloads are dominated by significant back-end bottlenecks, with backend-bound cycles ranging from 59.9% to over 82.2%. Complementary gem5 sensitivity studies identify optimal hardware configurations for Domain-Specific Accelerators (DSA), showing that suboptimal pipeline, memory, or branch predictor settings can degrade performance by up to 37.1%. These findings underscore the need for architecture-aware co-design to efficiently support biomechanical simulation workloads. |
| title | Belenos: Bottleneck Evaluation to Link Biomechanics to Novel Computing Optimizations |
| topic | Hardware Architecture |
| url | https://arxiv.org/abs/2510.15908 |