Best practices for scalable numerical solver libraries — APIs, testing, performance portability, and ownership. Below we unpack what a customized Hendoi build under Numerical Libraries should include.
Symptoms on the simulation desk
Libraries without clear APIs become unmaintainable forks
Scalability needs tests on large problems from day one
Performance portability beats one-off hardware hacks
Practical remediation sequence
- Design stable solver APIs with capability queries
- CI large-problem performance and correctness tests
- Document ownership, versioning, and hardware targets
Complementary capabilities
Pair this with Numerical Computing and Linear Solver Development, and keep learning via Common CFD Software Performance Bottlenecks and How Custom Development Solves Them.
Related reading on Hendoi
- Numerical Libraries service
- Why Generic Numerical Solvers Fail in Complex Engineering Applications
- Why Engineering Companies Build Proprietary Numerical Solvers for Competitive Advantage
- Common CFD Software Performance Bottlenecks and How Custom Development Solves Them
- Why Manufacturing Companies Build Custom Finite Element Analysis Software
- Numerical Computing
- Linear Solver Development
- Schedule a technical consultation