TECH STACK OVERVIEW

This page is a breakdown of "what I actually know." Each section will have more detailed topic pages and note links, making it easy for others to quickly determine which levels we can have meaningful conversations about.

1. Physics & Simulation Modeling

From mathematical foundations to governing equations, from turbulence / multiphase / combustion models to specific engineering scenarios (fans, compressors, combustors, turbines, etc.). More about "physical understanding + modeling trade-offs" rather than usage instructions for specific solvers.

2. Numerical Methods, Solvers & HPC

Discretization methods (FVM/FEM/DG), time integration, linear / nonlinear solvers, preconditioning, stability; then to parallel partitioning, load balancing, cache / bandwidth behavior—mainly focusing on "how algorithms map to machines."

3. Software Engineering & Workflow

Including: software survey and understanding, architecture design of custom code, coding standards and testing, case libraries and CI/CD, and how a complete "preprocessing → solving → postprocessing → HPC job" workflow is designed and evolved.

4. Chips & System Integration

Without disclosing confidential information, discussing how to understand custom chip architecture from operator / data layout perspectives, and the process of integrating CFD / CAE solvers with custom chips and system platforms.

5. AI for Simulation / Coding / Chips

The role of AI in simulation (model/condition recommendations, result interpretation), in coding (code generation, testing, refactoring), and possibilities in chip performance analysis / scheduling strategy exploration. More about "how to use AI in existing workflows" rather than building large models.