# Optimize memory access behavior using the Arm Performix MCP server

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-memory-access/)
- [Understand CPU memory hierarchy and address translation](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-memory-access/how-to-0/)
- [Set up and build the example application](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-memory-access/how-to-1/)
- [Profile memory access behavior with Arm Performix](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-memory-access/how-to-2/)
- [Optimize the application manually and with the Arm Performix MCP server](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-memory-access/how-to-3/)
- [Next Steps](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-memory-access/_next-steps/)

## About this Learning Path

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| --- | --- |
| Skill level: | Introductory |
| Reading time: | 45 min |
| Last updated: | 09 Oct 2026 |

### Author:
Kieran Hejmadi, Arm  
[GitHub](https://github.com/kieranhejmadi01)  
[LinkedIn](https://linkedin.com/in/kieran-hejmadi-88920815b)

### 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)
- [Linux](https://learn.arm.com/tag/linux)
- [Arm Performix](https://learn.arm.com/tag/arm-performix)
- [MCP](https://learn.arm.com/tag/mcp)
- [CPP](https://learn.arm.com/tag/cpp)
- [CMake](https://learn.arm.com/tag/cmake)
- [Python](https://learn.arm.com/tag/python)
- [perf](https://learn.arm.com/tag/perf)

### Who is this for?
This is an introductory topic for C++ developers who want to use the Arm Performix MCP server to diagnose cache and address translation behavior in applications running on Arm Neoverse servers.

### What will you learn?
After completing this Learning Path, you'll be able to perform the following tasks:
- Explain how L1 cache hits, TLB misses, and page walks affect C++ application performance.
- Build and visualize the orbiting galaxies example on an Arm Neoverse server.
- Inspect and optimize the particle data structure using insights from the memory access recipe.
- Use the Arm Performix MCP server with an AI coding agent to support an optimization workflow.

### Prerequisites
Before starting, you'll need the following prerequisites:
- Access to an Arm Neoverse bare metal server.
- Basic understanding of memory hierarchy within a CPU.
- Basic C++ development experience.
- Familiarity with the Linux command line.
- An MCP-compatible coding assistant. The example uses OpenAI Codex, which requires an OpenAI account.