mevi visualizes memory allocations using ptrace and userfaultfd by injecting faults into a target process. The project aims to provide a detailed, real-time representation of memory usage patterns. It addresses the limitation of traditional memory profiling tools by offering a lower-level view of memory access and allocation.
mevi distinguishes itself through its use of userfaultfd for efficient memory tracking and its web-based frontend for intuitive visualization. The design prioritizes minimal overhead on the target process and offers a unique approach to memory analysis beyond standard profiling techniques. It provides fine-grained memory tracking, enabling a deeper understanding of memory behavior.
- Memory Mapping Visualization: Displays a visual representation of the target process's memory layout, including allocations and regions.
- Userfaultfd Injection: Leverages userfaultfd for efficient and low-overhead memory tracking during program execution.
- Web-Based Frontend: Provides a user-friendly web interface for exploring and analyzing memory data in real-time.
- Linux 5.7+ Support: Designed and tested for Linux kernels version 5.7 and later.
- Multi-threading Awareness: Attempts to capture memory activity from multi-threaded processes, though challenges exist due to event ordering.
- Research Focus: Primarily a research project exploring alternative memory profiling techniques.
- Simple Installation: Offers a straightforward installation process via
just install.
mevi is a research project currently in active development. Recent commits indicate ongoing exploration and refinement of the core functionality. While the project has a solid foundation, documentation is limited, and community presence is minimal. The project's reliability is dependent on the stability of the underlying ptrace and userfaultfd mechanisms.
mevi benefits developers and researchers needing detailed memory insights, particularly in scenarios where existing tools fall short. It allows for understanding memory access patterns and debugging memory-related issues. The project is valuable for investigating memory behavior in complex applications, offering a detailed alternative to traditional profiling or manual inspection.