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Using HPC for Computational Fluid Dynamics

  • ID: 3103097
  • Book
  • 226 Pages
  • Elsevier Science and Technology
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Using HPC for Computational Fluid Dynamics: A Guide to High Performance Computing for CFD Engineers offers one of the first self-contained guides on the use of high performance computing for computational work in fluid dynamics.

Beginning with an introduction to HPC, including its history and basic terminology, the book moves on to consider how modern supercomputers can be used to solve common CFD challenges, including the resolution of high density grids and dealing with the large file sizes generated when using commercial codes.

Written to help early career engineers and post-graduate students compete in the fast-paced computational field where knowledge of CFD alone is no longer sufficient, the text provides a one-stop resource for all the technical information readers will need for successful HPC computation.

- Offers one of the first self-contained guides on the use of high performance computing for computational work in fluid dynamics- Tailored to the needs of engineers seeking to run CFD computations in a HPC environment

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
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1. Introduction to CFD 2. Introduction to HPC 3. The way the HPC works in CFD 4. High Reynolds number Flows 5. Clusters Classification 6. HPC benchmarks for CFD 7. Networking and Remote Access 8. The GPU Technology

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Jamshed, Shamoon
Shamoon Jamshed is a CFD Analyst at the Institute of Space Technology (IST), Karachi Centre, Pakistan. He has an MSc in Computational Fluid Dynamics from Cranfield University, UK and completed a Bachelors in Mechanical Engineering from NED University, Karachi, pakistan. He has been working in the field of CFD and HPC for nearly ten years, and specializes in mesh generation and turbulence modeling.
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