simulation-dev

To handle NaN and Inf errors in simulation code, apply structured best practices for numerical robustness and diagnostic instrumentation. This enforces input validation, index safety checks, and deterministic debugging across CPU and GPU solver paths.

Debug nondeterministic behavior in CUDA kernels by following deterministic debugging practices with structured diagnostics. This standardizes validation at subsystem boundaries to catch invalid inputs early and reduce silent numerical errors.

Validate inputs at solver subsystem boundaries by enforcing clear input validation and index safety checks. This catches invalid inputs early, improving correctness and stability while reducing crashes in simulation systems.

Yes, this simulation development guidance applies to both CPU and GPU paths. It provides clear guidelines for building robust CUDA and MUDA paths, solver components, and kernel development across mixed CPU/GPU contexts.

Your simulation crashes silently because it lacks proper diagnostic instrumentation and numerical robustness checks. Implementing structured validation for NaN and Inf handling alongside deterministic debugging practices surfaces these silent numerical errors.