profiling-main

What problem does it solve?

This Skill automates the analysis of profiling data to detect performance bottlenecks in computing, communication, and host operations.

Core Features & Use Cases

• Performance Data Parsing: Recursively scans directories for step_trace_time.csv files and extracts key timing metrics.
• Bottleneck Identification: Analyzes resource utilization to determine whether system slowdown is caused by computation, communication, or host-bound tasks.
• Use Case: Engineers can quickly pinpoint performance issues in AI model training or inference workflows, reducing debugging time and optimizing resource allocation.

Quick Start

Use the profiling main skill to analyze all profiling CSV files in your project directory by specifying the folder path.