hot-path-optimization
CommunityOptimize your code's performance hot paths for maximum efficiency.
Software Engineering#performance optimization#profiling#lock contention#SIMD#memory allocation#hot path analysis#branch prediction
Authorhung-phan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill identifies and optimizes the critical code paths in your application that are responsible for the majority of execution time and resource consumption.
Core Features & Use Cases
- Profiling: Analyze CPU and memory usage to pinpoint performance bottlenecks.
- Allocation Reduction: Identify and eliminate unnecessary memory allocations.
- Lock Contention Reduction: Address issues with excessive thread contention on locks.
- False Sharing Mitigation: Prevent false sharing caused by shared memory line contention.
- Branch Prediction Optimization: Improve branch prediction accuracy to reduce CPU cycles wasted on mispredicted branches.
- SIMD and Auto-vectorization: Utilize Single Instruction, Multiple Data (SIMD) instructions and auto-vectorization for improved performance on numeric loops.
- Use Case: For instance, if your application is experiencing high latency due to a hot path in a CPU-bound loop, this Skill can help optimize that loop to reduce latency.
Quick Start
Use the hot-path-optimization skill to profile and optimize the hot path in your code.
Dependency Matrix
Required Modules
perfgprofpprofvalgrindgdbobjdumpgccclangpython
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: hot-path-optimization Download link: https://github.com/hung-phan/system-skills/archive/main.zip#hot-path-optimization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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