High Performance Computing

scrp 2022

The Department of Economics' high performance computing capacity consists of one HPC cluster and three standalone HPC servers.

  1. SCRP HPC Cluster
    • 11 nodes for a total of 300 cores and 3.2TB RAM
    • 16 NVIDIA Pascal GPUs: RTX 3090 x 6, RTX 3060 x 2, GTX 1080ti x 4, GTX 1080 x 4
    • IB FDR 56Gb/s fabric
    • OS: Ubuntu 20.04
    • Applications: Stata 17, R 4.1 with RStudio 1.4, Python 3.8 with JupyterHub, MATLAB 2021a
    • Supports MPI and Singularity
  2. Standalone Servers 
    • econlab2
      • Intel E5-2698 v4 x 2 (40 cores)
      • 384GB DDR4 RAM
    • student-hpc
      • Intel E5-2640 v3 x 2 (16 cores)
      • 64GB DDR4 RAM
    • econsuper
      • Intel E5-2668 v2 x 2 (16 cores)
      • 64GB DDR3 RAM
    • OS: SUSE Linux Series and CentOS
    • Applications
      • STATA MP-16 Version 17
      • MATLAB r2021a with Toolboxes: 1)Symbolic Math; 2) Optimization; 3) Statistics; 4) Curve Fitting; 5)ControlSystem; 6)Parallel Computing;...
      • R and RStudio