Memory Profiler CLI

Improved prompt:

Design and implement a high-performance memory profiler in C for system-level analysis of process memory usage and allocation behavior. Your primary objective is to create a comprehensive tool that enables developers to identify memory leaks, optimize allocation patterns, and gain detailed insights into the memory dynamics of their applications.

Key requirements and constraints:

• The profiler must be capable of attaching to running processes without significant performance overhead, ensuring minimal impact on the target application's execution.
• Implement a robust heap analysis component that tracks memory allocations and deallocations, providing a clear picture of an application's memory usage patterns.
• Develop a state-of-the-art memory leak detection mechanism that captures stack traces associated with leaked memory objects, enabling precise root cause analysis.
• Create a memory usage visualization module that presents detailed statistics and visualizations in an easily consumable format, allowing developers to quickly identify areas for optimization.
• Implement custom allocator hooking functionality to enable detailed tracking of memory allocations made through custom allocators, ensuring comprehensive coverage.
• Develop a multi-format report generation system that allows the user to export analysis results in common formats such as JSON, HTML, and CSV for further processing and documentation.
• Include advanced filtering options to reduce noise and focus the analysis on relevant memory objects and allocation patterns, improving the signal-to-noise ratio.
• Implement a snapshot comparison feature that allows developers to analyze the memory usage differences between two snapshots, facilitating before-and-after comparisons and performance benchmarking.
• Create a versatile command-line interface with an interactive mode that provides an intuitive user experience for memory profiling tasks.

Please provide a detailed implementation plan, including code structure, algorithmic approaches, performance optimizations, and any trade-offs or challenges you anticipate in meeting the specified constraints.