How can I optimize algorithms using profiling techniques?
Profiling helps identify bottlenecks in your algorithms. You can use tools like gprof or Valgrind to analyze performance.
What specific metrics should I look for when profiling?
Focus on execution time, memory usage, and CPU cycles. These metrics will help you pinpoint inefficiencies.
Can you suggest some common optimization techniques?
Sure! Consider techniques like loop unrolling, caching results, and using more efficient data structures.
How do I know if my optimizations are effective?
Re-profile your algorithms after making changes. Compare the new metrics with the old ones to assess improvements.
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