Intermediate to Advanced
Coding
HPC
Research
7. Research Computing for CFD
This module addresses the computational practices that support research-grade CFD, including code structure, verification, data handling, reproducibility, and high-performance workflow organization.
Teaching 28 hrs
Practice 20 hrs
Modern CFD research requires more than numerical formulation alone; it also requires disciplined computational practice. This module therefore focuses on the implementation side of simulation work: basic solver organization, verification and validation logic, reproducible case setup, post-processing strategy, and the computational habits required for large and reliable research workflows. It is particularly relevant to students entering graduate research groups or beginning independent simulation work.
Learning outcomes
- Organize CFD workflows in a systematic and research-oriented manner
- Understand the role of programming and code structure in solver development
- Interpret verification, validation, and reproducibility with greater methodological rigor
- Build readiness for high-performance computing environments and larger-scale simulation studies