Xu Bin
CFD solver and engineering simulation engineer,
working on numerical methods, solver implementation, HPC & sparse matrix solvers,
and deployment & performance optimization on custom chips, with some work combining AI-assisted development and analysis.
CFD Solver Development
From equation modeling, numerical schemes, boundary conditions to overall solution workflow, participating in/leading the design and implementation of CFD solvers, mainly for complex internal flow scenarios such as aircraft engines.
HPC & Sparse Matrix Solvers
Research on solution strategies for sparse linear systems in implicit solvers, running large-scale cases with multi-core parallel and high-performance libraries, focusing on convergence characteristics, bandwidth utilization, and overall simulation time.
Chip Deployment & Hardware-Software Co-Design
Deploying and optimizing CFD solvers on custom chips, matching existing architecture and memory hierarchy from algorithm and data layout perspectives, aiming for stable and reproducible acceleration under engineering-usable conditions.
AI-Assisted Simulation & Development
Exploring AI tools to assist simulation development, such as model selection, solver parameter tuning, code writing and refactoring, log and performance data analysis, while keeping physical constraints, numerical stability, and engineering verifiability as priorities.
ABOUT
I am an engineering-oriented CFD / simulation engineer, currently working at a custom chip company, focusing on CFD solver and simulation platform development related to aircraft engines. My work includes numerical methods and solver implementation, sparse matrix solving under implicit formats, and deployment and performance optimization on custom chips.
Both my undergraduate and graduate studies were in mechanics and fluid dynamics. I also participated in CAE-related projects in structures and architecture earlier. Now my focus is mainly on CFD, HPC, and simulation computing on chips.
This website systematically organizes my technical system, project experience, and problem-solving approaches, also serving as a transparent technical portfolio for external communication and job applications.
Current Focus Areas
- CFD solvers (especially full-flowpath and complex internal flows in engines)
- Sparse matrix solving and HPC parallel optimization under implicit formats
- Simulation deployment and hardware-software co-design on custom chips
- AI + Simulation / AI + Coding / AI + Chip Performance Analysis
Quick Links
TECH STACK
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.
PROJECTS
Representative project cases showcasing CFD solver development, HPC optimization, and custom chip deployment. Each project follows a structured approach: Background → Role & Goals → Technical Solution → Results & Metrics → Reflection.
NOTES
Technical notes on CFD / simulation / HPC / chips / AI. Each article follows a clear structure: Problem → Analysis → Conclusion, with explicit assumptions and boundaries stated.
TOOLS
Planning to organize some small tools related to CFD / simulation workflows here, such as mesh hash verification, case template generation, simple online calculators, etc. Currently only placeholder sections, will be gradually supplemented.
- CFD mesh file hash verification tool (planned)
- Typical engine component case templates (planned)
- Flow parameter calculator (Reynolds number / Mach number / characteristic time scale) (planned)
SELECTED OUTPUTS
Technical outputs, presentations, and contributions related to CFD, HPC, and engineering simulation.
Technical Talks & Presentations
-
"Implicit CFD Solver Convergence: Myths and Best Practices"
2024 · Internal technical sharing -
"Deploying Scientific Computing on Custom Chips: Lessons from CFD"
2023 · Technical presentation -
"AI-Augmented CFD Development Pipeline"
2023 · Internal workshop
Additional outputs and publications will be added as they become publicly available.
CONTACT
If you are interested in CFD solvers, engineering simulation, HPC & sparse matrix solvers, deployment on custom chips, or AI applications in these areas, feel free to reach out.
Email:
xubinlab@gmail.com
GitHub:
github.com/xubinlab