Middlebury

High Performance Computing (HPC)


Overview

A simplified definition of High Performance Computing (HPC) is the aggregation of computing power and memory to perform tasks, such as computer modeling, simulations, analyses, etc. At Middlebury, faculty have expressed interest in solving large-scale, multidimensional economic models, performing molecular modeling calculations, rendering animations, and 3D modeling of large data sets, etc.

Earlier this year a group of faculty members across a range of academic disciplines received more than $150,000 in funding from the National Science Foundation to install a high-performance computing (HPC) cluster at Middlebury College.

The principal investigator on the project is Associate Professor Amy Yuen of the Political Science Department, who is also the director of the program in international politics and economics. Yuen and her faculty colleagues have dubbed the cluster “Ada” in honor of Ada Lovelace, the famed 19th-century English mathematician.


Hardware

The HPC cluster consists of 17 computer nodes with a cumulative total of 556 processors. It includes 14 nodes with 96GB of RAM each and one additional node with 768GB of RAM. In addition, the HPC cluster has a dedicated graphics processing unit (GPU) with 96GB of RAM, along with a storage node with 60TB of hard drive storage.


Software

  • MATLAB
  • RStudio
  • Stata

Guidelines

Training

Questions