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content/learning-paths/servers-and-cloud-computing/performix-memory-access/_index.md

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layout: "learningpathall" # All files under learning paths have this same wrapper
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learning_path_main_page: "yes" # This should be surfaced when looking for related content. Only set for _index.md of learning path content.
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Memory-bound code can look computationally simple while still spending most of its time waiting for data. In this Learning Path, you build a C++ particle simulation, inspect the data structure used by the hot loop, and run the Arm Performix Memory Access recipe through the Arm MCP Server.
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The workload stores particles for an orbiting galaxies simulation. You use it to connect memory hierarchy concepts to source code: how cache line use, pointer indirection, TLB behavior, and page walks can affect runtime even when each loop iteration performs only a few arithmetic operations.
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You start with manual Linux inspection techniques such as `perf`, then use Arm MCP to run the Performix Memory Access recipe on a remote Arm target. Stop after collecting the first memory access profile so you can assess the results before applying improvements.

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