GPU Design Interview Prep

Whiteboard answer shape

1. Define workload context and failing metric.
2. Sketch SIMT + memory + scheduler path.
3. Name dominant bottleneck with evidence.
4. Propose bounded fix and owner.
5. Define validation matrix and rollback gate.
6. Close with release recommendation.

Interview pages

1. gpu-whiteboard-framework/

2. scenario-occupancy-mystery/

3. scenario-memory-bound-kernel/

4. scenario-graphics-compute-tradeoff/

5. gpu-interview-qa-bank/

GPU deep dive

GPU design closure blends architecture intent, software behavior, and reproducible performance evidence.

Concept diagram

kernel intent -> hardware execution -> measured outcome

Metric graph

throughput trend

Reports and artifacts

• kernel profile

• occupancy report

• regression dashboard

Mini case study

Tag profiler runs with exact build and launch metadata.

Debug branches

• Reproduce before optimizing

Senior review question

Ask: which metric and benchmark pairing proves this topic is truly closed in production context?