SCS GPU Request Form

Please note that SCS GPU requests are only granted if you are taking a COMP course that requires GPU use. In special circumstances your instructor or supervisor may request GPU resources on your behalf.

SCS GPU Request Form

All the information required to create a GPU VM for a user and assign them an appropriate GPU.

Name(Required)

First Last

Email(Required)

Why do you need to use the GPU?(Required)

Program

Which program is your course in

Course Number

Please enter the Carleton course number that requires a GPU

Instructor or Supervisor(Required)

Name of your course instructor, faculty member or supervisor.

Operating System(Required)

Ubuntu is the recommended O/S. Game developers may want to use Windows.

Special O/S Request

Please describe your special operating system request

How many GPU's do you require?

Typically each user is assigned 1 Graphics Processing Unit (GPU). In non-peak periods and in special circumstances we can assign more.

You requested multiple GPU's. Please indicate how we can deploy your resources:

I like to have a single VM with multiple GPU’s

I like to have several VM’s each one has 1 GPU

What are your GPU requirements?

Please indicate if you have performance requirements.

How much VM/CPU memory do you need?

Typically we assign VM/CPU memory to match your GPU’s VRAM which is enough for most people. Default is between 16-32GB of CPU memory.

VM Disk space

Default disk space (256-512GB)

I require large amount of disk space (> 512GB)

I can make due with minimal disk space (< 128 GB)

Typically GPU VM’s have 256 GB of SSD disk or more by default.

Software requirements

We would like to know what software you will be running. Our GPU VM’s come pre-installed with CUDA and Tensorflow with a specific version that is supported by the GPU. Typically you are responsible for installing your own software but in special circumstances we can assist you with your software request.

Start Date?

When would you like to start using the GPU?

When do you expect to be finished?(Required)

We only allow booking of GPU VM’s maximum to the end of each academic term.

Additional Comments

List anything else applicable. If not already listed please indicate your instructor or supervisor.

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School of Computer Science

5302 Herzberg Laboratories

613-520-4333

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