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CPU Profiling

CPU profiling is a performance analysis technique that measures how a program uses CPU resources by sampling or instrumenting code execution to identify bottlenecks, hotspots, and inefficiencies. It collects data on function call frequencies, execution times, and resource consumption, typically generating reports or visualizations like flame graphs. This helps developers optimize code for speed and efficiency in applications ranging from web servers to desktop software.

Also known as: CPU Profiler, Performance Profiling, Code Profiling, Execution Profiling, Hotspot Analysis
🧊Why learn CPU Profiling?

Developers should use CPU profiling when optimizing performance-critical applications, debugging slow code, or reducing resource costs in production systems. It is essential for identifying CPU-intensive functions in scenarios like high-traffic web services, real-time data processing, or game development, enabling targeted improvements that enhance user experience and scalability. Profiling is also valuable during refactoring or when migrating to new hardware to ensure efficient resource utilization.

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