High Performance Computing

Supporting the Research and the Researchers

Science and engineering increasingly rely on numerical analysis and computational simulations to better understand the underlying details of the complex phenomena. The integration of HPC and AI is transforming the world of scientific discovery. The convergence of these advanced tools with computational power is driving innovation and breakthroughs in all fields.


ARC supports the efforts of our computational researchers by making available a broad spectrum of high-end robust hardware and up-to-date commercial software.
 

CONTACT
Phone: 508-831-5136

View information about our HPC cluster, Enterprise level and tiered data storage, and Windows terminal servers.  For more information about access, or to request a consultation, please contact ARChelp@wpi.edu.

High Performance Compute Cluster

WPI's main research cluster, Turing, is hosted at the Massachusetts Green High Performance Computing Center (MGHPCC) and supports faculty members across all schools and disciplines. The cluster was originally funded through an NSF MRI grant (DMS-1337943) and has grown considerably since 2016. It now runs more than 6,000 CPUs and 180 GPUs making it well-suited for both traditional HPC workloads and modern AI research.


Research Windows Terminal Servers

ARC maintains Windows terminal servers which allow researchers to access powerful systems to run both commercial and open-source software in a Windows environment. These systems can be reached by remote desktop connection from all platforms (Windows, Linux, Mac).


Software & Code Development

Software: The ARC team acquires and manages most of the academic software for WPI (MATLAB, Maple, Ansys, COMSOL, SolidWorks, Tecplot, SigmaPlot, and a host of other programs) which then become accessible to the community through installation in computer labs on campus, Windows terminal servers, and Linux servers and workstations.


Code Development: The ARC team offers code development services as well. Our staff are knowledgeable in the areas of parallel computing with Fortran, C, and Python. We help faculty and students write/debug/optimize their code to run on the Turing HPC Cluster. We offer short introductory training sessions for code development and parallelization, in addition to one-on-one consultations to get research code optimized to run on the cluster.