# High Performance Cluster (HPC) short tutorial for UCL AI-Enabled Healthcare CDT

## How does it work?

![Network Diagram](images/network_diagram.png)

## Logging In

<p align="center">
  <img width="600" src="asciinema/logging_in.svg">
</p>

## Scheduler

###qsub
Submit a job to the scheduler with qsub
```bash
qsub /path/to/submission/script/
```
###qstat
Get the status of a job with qstat
```bash
qstat
job-ID  prior   name       user         state submit/start at     queue                          slots ja-task-ID 
-----------------------------------------------------------------------------------------------------------------
6506636 0.00000 testing    jbloggs      qw    21/12/2012 11:11:11                                    1     
qstat -j <job-ID>
```

###q
Submit a job to the scheduler with qsub
```bash
qsub /path/to/submission/script/
```



## Why use the HPC?
* No CUDA enabled GPU on your laptop
* Don’t want your laptop to become a radiator
* Run parallel experiments and get results quicker
* Hyper optimization
* BIG GPU’s
* Free service
* Relatively high freedom to manage your own environment
* Learn key skills for industry 
* Secure place to store healthcare data
* Active support

## Why not use the HPC?
* Takes time to setup
* Job queue times 
* Unix is hard and ugly
* Unfamiliar environment
* I have a huge GPU in my desktop it’s enough for what I want to do
* Prefer to learn commercial cloud services (AWS GCP AZURE)