# Vectorization

Rewriting operations so a single instruction processes several data elements at once, using the processor’s wide registers.

Source: https://university.eugo.io/glossary/vectorization

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Eugo applies this automatically through its own compiler toolchain, which is part of why ordinary Python numeric code runs faster on the platform than it would unaided.

## Related terms

- [Automatic optimization](https://university.eugo.io/glossary/automatic-optimization) — Transformations Eugo applies to your code as it runs: vectorization, GPU offloading, and low-level tuning, with no annotation from you.
- [ARM Neoverse](https://university.eugo.io/glossary/arm-neoverse) — The ARM server processor architecture Eugo’s compute nodes are built on, chosen for performance per watt on numeric workloads.