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knmcguire authored Feb 14, 2023
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## Cores ##

You have one separate core, the *fabric controller* (FC), which you can imagine as the system's "boss" - the core with access to the peripherals, its own L1 memory and its own instruction cache. The FC can then offload tasks to the *cluster* (CL). The CL is very powerful when working together - it has 8 cores which share L1 memory and an instruction cache. The shared resources mean great acceleration when all cores are executing the same code on different data - but keep in mind that trying to use them individually will be highly ineffective, as you will get a lot of instruction cache misses. Great examples are machine learning as the [classification example](/documentation/repository/aideck-gap8-examples/master/ai-examples/classification-demo).
You have one separate core, the *fabric controller* (FC), which you can imagine as the system's "boss" - the core with access to the peripherals, its own L1 memory and its own instruction cache. The FC can then offload tasks to the *cluster* (CL). The CL is very powerful when working together - it has 8 cores which share L1 memory and an instruction cache. The shared resources mean great acceleration when all cores are executing the same code on different data - but keep in mind that trying to use them individually will be highly ineffective, as you will get a lot of instruction cache misses. Great examples are machine learning as the [classification example](/docs/ai-examples/classification-demo.md).

## Memory ##

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