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October 9, 2025Advances in Bioengineering

Design of a Parallel Computational Fluid Dynamics Code on a Shared Memory Architecture

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Authors

HBHarris L. BergmanGeorgia Institute of TechnologyJVJeffrey S. VetterOak Ridge National LaboratoryKSKarsten SchwanGeorgia Institute of Technology

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Implication

This investigation shows parallel execution improves CPU time efficiency in computational fluid dynamics, highlighting its benefits over traditional methods.

Key Points

  • Parallel execution enhances performance in computational fluid dynamics, reducing CPU time significantly.
  • Investigations into pulsatile flow used a spectral element method, demonstrating long run times on traditional systems.
  • Cray supercomputers provided limited acceleration for non-optimized computational fluid dynamics tasks.
  • The method addresses the challenge of lengthy job queues on supercomputers, indicating a more efficient approach.

Cite This Study

Bergman et al. (1995) studied this question.

synapsesocial.com/papers/68e7103e90569dd607ee6ee1https://doi.org/10.1115/imece1995-0247
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