In a team project, you're responsible for ensuring the overall performance of the codebase. How would you analyze benchmark results to identify performance bottlenecks?
- Compare benchmark results between different commits or branches to track changes in performance over time.
- Examine memory allocation patterns reported by benchmarks to identify potential memory-related bottlenecks.
- Focus solely on execution time reported by benchmarks to identify the most time-consuming functions or code paths.
- Utilize profiling tools alongside benchmarks to identify CPU and memory hotspots and understand the execution flow in detail.
Analyzing benchmark results involves looking beyond just execution time. By considering factors like memory allocations and profiling data, you gain a comprehensive understanding of performance characteristics. Profiling tools provide detailed insights into CPU and memory usage, helping pinpoint specific bottlenecks and areas for optimization. Combining benchmarks with profiling enhances performance analysis in team projects.
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