Here at the Hanlon Financial Systems Laboratories, we put together resources to let our researchers and students leverage the contributions of the whole Stevens community to run larger projects with less costs. For example, we have servers that are from research funding or donations which are not of large scales in the standard of current machine learning applications. But when we put them together, it becomes adequate for most research projects.
If you are a faculty or staff member, you can directly email us at email@example.com. If you are a student, we need you to submit a request form as detailed below in order to make sure you talk to your advisor to discuss a good plan to better use the resources.
If you are a student working on a course project that requires some extra computing power, you can request access to a shared workstation in the Hanlon 1 on the 4th floor of Babbio Center or Hanlon 2 on the 1st floor of Babbio Center. These workstations have NVIDIA RTX3070 GPU, Intel Core i9-11900 CPU and 64 GB of CPU memory. Both Windows and Ubuntu are ready in these workstations. The lab team can help you with basic software setups. Remote access can be provided if needed. Select "Local or Remote Access to Hanlon Lab Workstations" in the following form and do not forget to put the details of your request.
If you are a student working on a large research project with a faculty or stuff member, you can request access to a dedicated large machine or a number of them if distributed computing is needed. We can provide CPU sizes from 1 core to 96 cores, memory sizes from 1GB to 1TB and virtual GPU from 10GB GPU RAM to 80GB GPU RAM. Some large scale and expensive resources like the GPUs need to be reserve as detailed here (https://fsc.stevens.edu/reserve-a-h100/). Please select "Remote Access to Computing Servers" in the following form and put at least the following information in the "Request Details".
- Research Field and Application
- Operating System
- Minimum CPU core number, CPU memory size and hard drive size.
- Whether or not GPU is needed.