# Eugo for hpc engineers

Tune cluster sizing, resources, and throughput

Source: https://university.eugo.io/roles/hpc-engineer

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## Courses

- [Distributed Python with eugo.hpc](https://university.eugo.io/courses/distributed-python-with-eugo-hpc.md): Turn ordinary Python into distributed work with a decorator, then scale it across a cluster.
- [GPU acceleration on Eugo](https://university.eugo.io/courses/gpu-acceleration-on-eugo.md): How work reaches the GPU, which operations benefit, and how to confirm it actually happened.
- [How automatic optimizations work](https://university.eugo.io/courses/how-automatic-optimizations-work.md): Eugo rewrites and tunes your code as it runs. Here is what it does, and how to help it.
- [Scaling a real workload](https://university.eugo.io/courses/scaling-a-real-workload.md): Take a single-machine geospatial pipeline to a cluster, and find out where the time actually goes.