ORIGINAL COMPANY-CONTEXT PRACTICE
Evaluate synthetic processor benchmark regressions
Original practice scenario: A hypothetical hardware team compares two compiler builds across processor families. Most workloads improve, but a few important ones become slower.
Written for independent practice using company context; this is not a verified question from a company interview.
A REASONED APPROACH
Model answer.
Analyze paired workload results and correctness before summarizing speed. A single average can obscure regressions on a particular processor family or deployment-critical workload.
Work through it
- Freeze workload versions, compiler flags, hardware configurations and output checks; separate warm-up from timed repeated runs.
- Use paired comparisons with randomized execution order, report uncertainty and define a weighting policy tied to the intended workload population.
- Inspect per-family latency, throughput, memory and power measurements where available; investigate failed or unusually variable cases rather than excluding them silently.
Tradeoffs to discuss
- A controlled benchmark improves attribution but omits real deployment contention; representative end-to-end testing complements microbenchmarks.
Common pitfalls
- Do not average speedup ratios without explaining the aggregation method.
- A faster incorrect result is not a performance improvement.