Choosing Resource Requests
| Field | Description |
|---|---|
| Number of cores | Used in parallel processing. Your code must be modified to take advantage of using multiple cores. |
| Memory Request in GB | When dealing with Big Data, you will need to increase the amount of memory. A good rule of thumb is to request 2 to 3 times the size of data that you are reading in or generating. |
| Work Directory | Allows you to change the working directory of a Jupyter Notebook to your /scratch folder. |
| Optional: Slurm Option | Allows you to provide advanced features, like requesting specific nodes or providing a reservation |
| Optional Group | Only needed if you are in more than 16 Rivanna groups. You may need to force Rivanna to see your allocation. |
| Optional: GPU type for GPU partition & Optional: Number of GPUs | Only needed in you are running on a GPU node. The “default” for GPU type will put you on the first available GPU node. For now, the number of GPUS should be 1. |
Some fields on the Web Forms are blank, while others are set to default values.
The most important request will usually be the Memory Request.