new-kernel-checklist

Adding a new GPU kernel requires completing classification, source coding, compilation, testing, and documentation steps. Structured validation ensures all required tasks, from source templating to warmup registration, are completed systematically to prevent overlooked deployment steps.

To verify a CUDA kernel is production-ready, validate its classification, source coding, compilation, testing, and documentation. Using a structured checklist ensures all build, test, and deployment steps are properly performed before integration, preventing overlooked errors and incomplete implementations.

Yes, this GPU kernel validation checklist is designed specifically for vibeSpatial. It facilitates structured validation for GPU kernel additions and dispatch operations within vibeSpatial, covering all required tasks to ensure production-ready implementations.

The best way to avoid overlooking steps when implementing a new CUDA kernel is to follow a comprehensive checklist. It guides you systematically through classification, source templating, warmup registration, coding, compilation, testing, and documentation to prevent errors.

New GPU kernel deployments often fail due to overlooked critical steps like missing warmup registration or incomplete compilation. Using a structured validation checklist ensures all coding, testing, and documentation tasks are completed systematically before integration, preventing deployment issues.