Getting Started: What is High Performance Computing

HPC map diagram of several points of interest about the HPC.
High Performance is the practice of using a cluster of powerful technology, working in parallel, to process and solve advanced computation problems.

At Âé¶¹´«Ã½, there are some 70 server-class computers clustered together in a way to provide a variety of environments to meet the needs of researchers and their teams.

The image to the right includes several points of interest about the HPC:

  • The HPC is available to on and off-campus users.
  • Access requires the use of the Âé¶¹´«Ã½ VPN and DUO (not shown).
  • All the components of the system are interconnected on a fast, internal network.
  • Most of the server nodes support CPU based solutions.
  • There are 4 nodes that offer GPU resources (each with 4 Nvidia V100s).
  • There is one node designated as a high memory resource (1.5 TB RAM).
  • There is storage supporting HPC and the Student HPC.
  • User home directories are available via a highly reliable /data storage.
  • High Performing Run-time storage is available via /scratch storage.

QuickStart Guides

Welcome to the QuickStart guides for Âé¶¹´«Ã½'s High Performance Computing (HPC) system. If you're tired of sticky notes on your lab computer or your computer's hard drive is full, it's time to consider using the Âé¶¹´«Ã½ HPC system. Follow the guides below to start running your jobs on the cluster.

Click the + to list the guides for each section below

 

Request HPC Access

Faculty Access: Complete the  to request your own access. This form now also allows you to sponsor accounts for a student, a guest or a list of students.

Student and Guest Access: We ask that student and guest accounts on the HPC or SHPC be requested by a Âé¶¹´«Ã½ faculty member or research sponsor using the . The form is not intended for students to complete.  

Please note that the Âé¶¹´«Ã½ HPC uses NetID for authentication, so non-Âé¶¹´«Ã½ users will need to be registered visitors in a process that goes through Owl Express. Connect with  for the current process.

If you already have access and need support, please contact the Âé¶¹´«Ã½ service desk:

Online:
Phone: (470) 578-6999
Email: service@kennesaw.edu.