Platform R: Overview

What is Platform R

Platform R is the on-premise high-performance computing environment optimized for computationally intensive tasks such as simulations, scientific modeling, forecasting, big data analysis, and machine learning/AI. It leverages large, parallel computational power, large memory capacity, and efficient interconnection to achieve superior performance. This environment advances the mission of the School of Medicine & Public Health's bio-informatics/medical research and is designed to address HIPAA compliance (security and privacy protections) for these workloads. We have integrated familiar software (some of the same software used by Center for High Throughput Computing's (CHTC) High Performance Computing Cluster) to make the transition easier for researchers who are already on campus and are looking to use sensitive data in a secure environment.  

Researchers use Platform R for their high-computational needs

• Platform R boasts extremely fast, shared resources.
  • Including, but not limited to:
    • 80+ Compute Nodes
    • 24,000+ CPUs
    • 91+ TBs Memory
    • 15+ GPUs (NVIDIA H200 and L40S)
    • 450+ TBs of distributed scratch storage.
  • Running on Ubuntu 22.04 LTS.
  • Utilizes Slurm, Spack, and Ceph for job scheduling, execution, environment control and temporary storage.

Why is it important to use Platform R?

1. Platform R is a free to use solution for researchers.
2. Computations of large data sets take a fraction of the time vs. standard computing options.
3. Data can be securely moved in and out through your Research Drive.
4. Data security and privacy protections are in place for users, which allows restricted (including PHI) data to be utilized.

Platform R Help/Contact Information

• Think Platform R is a good fit for your team?
  • Submit a Platform R Request to request access or to meet with our team to discuss your needs: Platform R Request Intake Form
• Have any additional questions?
  • Submit a ticket here: Submit a Platform R Ticket