# Implement Code level Performance Analysis using the PMUv3 plugin

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/servers-and-cloud-computing/pmuv3_plugin_learning_path/)
- [PMUv3 plugin features](https://learn.arm.com/learning-paths/servers-and-cloud-computing/pmuv3_plugin_learning_path/intro/)
- [Download and build the PMUv3 plugin](https://learn.arm.com/learning-paths/servers-and-cloud-computing/pmuv3_plugin_learning_path/before-you-begin/)
- [Instrument one section of code](https://learn.arm.com/learning-paths/servers-and-cloud-computing/pmuv3_plugin_learning_path/instrumentation/)
- [Plot, visualize, and analyze the results](https://learn.arm.com/learning-paths/servers-and-cloud-computing/pmuv3_plugin_learning_path/plot/)
- [Instrument multiple sections of code](https://learn.arm.com/learning-paths/servers-and-cloud-computing/pmuv3_plugin_learning_path/instrumentation2/)
- [Next Steps](https://learn.arm.com/learning-paths/servers-and-cloud-computing/pmuv3_plugin_learning_path/_next-steps/)

## About this Learning Path

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| Skill level: | Advanced |
| Reading time: | 1 hr |
| Last updated: | 11 Aug 2026 |

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| Author: | Gayathri Narayana Yegna Narayanan , Arm |
| Arm IP: | [Neoverse](https://support.arm.com/?tab=compute-ip&Product%20Type=Infrastructure%20Processors) |
| Tags: | [Performance and Architecture](https://learn.arm.com/tag/performance-and-architecture) [Arm AGI CPU](https://learn.arm.com/tag/arm-agi-cpu) [Linux](https://learn.arm.com/tag/linux) [C](https://learn.arm.com/tag/c) [CPP](https://learn.arm.com/tag/cpp) [Python](https://learn.arm.com/tag/python) [Runbook](https://learn.arm.com/tag/runbook) |

### Who is this for?
Engineers who want to carry out C/C++ performance analysis by instrumenting code at the block level.

### What will you learn?
After completing this Learning Path, you'll be able to perform the following tasks:
- Generate a fine-grained, precise measurement of functions and other sections of code.
- Instrument your code to analyze a single section or multiple sections using the provided instrumentation scenarios.
- Run and collect performance metrics and raw event values for any of the 15 event groups (bundles) in a single run.
- Use a tool to plot raw PMU event values along with KPI metric values such as MPKI, stalls, and IPC to aid performance visualization.

### Prerequisites
Before starting, you'll need the following prerequisites:
- An Arm-based computer running Linux, such as an Arm AGI CPU platform.
- Some familiarity with Linux application performance analysis.