mandate-performance

Evaluate hot paths and tick budgets by analyzing per-frame workloads, cache locality, and allocation costs to identify bottlenecks before shipping. The framework assesses runtime efficiency and scalability, recommending lock-free or batching strategies with concrete numbers to maintain latency targets.

Detect O(n^2) scalability issues and unbounded allocations through scalability analysis that reviews redundant iterations and resource budgeting. The evaluation targets runtime efficiency by flagging costly loops and allocation patterns, providing measurable optimization targets for architecture reviews.

Analyze threading costs and recommend thread-safety strategies by evaluating lock-free approaches and batching for batch processing workloads. The framework measures per-frame impacts and provides concrete examples of resource budgeting to reduce latency in real-time systems.

Yes, this performance evaluation framework works for game engine design reviews and performance audits of real-time systems. It evaluates hot paths, assesses tick budgets, and checks cache locality to ensure runtime efficiency and scalability criteria are met before shipping.

Runtime performance degrades under per-frame workloads due to unbounded allocations, poor cache locality, and redundant iterations. Profile cache locality by applying the evaluation framework to detect O(n^2) issues and measure adherence to tick budgets, recommending batching optimizations.

Limitations exist when evaluating lock-free strategies because the framework focuses on design-level performance criteria rather than implementation-level profiling. It provides concrete numbers and examples for threading costs, but actual runtime validation requires separate profiling tools to verify batch processing results.