intel-vtune-amd-uprof

Analyze CPU microarchitecture and performance bottlenecks with Intel VTune Profiler and AMD uProf.

159|20|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill intel-vtune-amd-uprof
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: intel-vtune-amd-uprof
Source: https://github.com/mohitmishra786/low-level-dev-skills/tree/main/skills/profilers/intel-vtune-amd-uprof
Command: npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill intel-vtune-amd-uprof

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you diagnose performance bottlenecks in your code by analyzing CPU microarchitecture, identifying pipeline stalls, and optimizing memory access patterns.

Core Features & Use Cases

  • Hotspot Analysis: Pinpoint CPU-bound functions consuming the most time.
  • Microarchitecture Exploration: Understand IPC, pipeline stalls, and execution bottlenecks.
  • Memory Access Profiling: Detect cache misses and DRAM bandwidth limitations.
  • AMD uProf Integration: Provides a free alternative for AMD CPUs.
  • Roofline Model: Visualize performance against hardware limits to identify compute vs. memory bounds.
  • Use Case: Your application runs slower than expected despite a high cache hit rate. Use this Skill to analyze pipeline stalls and identify if the bottleneck is in the CPU's execution units or memory subsystem.

Quick Start

Use the intel-vtune-amd-uprof skill to collect and report hotspots for the executable 'my_program'.

Frequently Asked Questions about intel-vtune-amd-uprof

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze CPU pipeline stalls and memory access patterns?

You can analyze CPU pipeline stalls and memory access patterns by profiling your executable to collect microarchitecture-level metrics, identifying execution bottlenecks, and detecting cache misses or DRAM bandwidth limitations. This process pinpoints whether code is compute-bound or memory-bound.

What is the roofline model in performance profiling?

The roofline model in performance profiling is a visual method to evaluate application performance against hardware limits. It identifies whether your code is compute-bound or memory-bound by plotting arithmetic intensity against peak compute and memory bandwidth ceilings.

How do I profile hotspots in my executable using CPU microarchitecture analysis?

To profile hotspots in your executable, you collect and report CPU performance metrics to pinpoint CPU-bound functions consuming the most execution time. This microarchitecture analysis reveals instructions per cycle (IPC) metrics and highlights specific execution bottlenecks.

Can I use AMD uProf for performance analysis instead of Intel VTune Profiler?

Yes, you can use AMD uProf for performance analysis as a free alternative for AMD CPUs, providing similar microarchitecture exploration capabilities. Intel VTune Profiler is utilized for analyzing pipeline stalls and memory access patterns on Intel platforms.

Why does my application run slow despite a high cache hit rate?

Your application runs slow despite a high cache hit rate due to CPU pipeline stalls or execution unit bottlenecks. Microarchitecture profiling analyzes these specific stalls to determine if the bottleneck resides in the CPU execution units rather than the memory subsystem.

What tools do I need to identify compute-bound versus memory-bound code?

To identify compute-bound versus memory-bound code, you need Intel VTune Community Edition or AMD uProf for profiling and analysis. These tools collect hardware metrics to visualize performance against hardware limits using the roofline model.