Our Courses

Below is a list of courses we regularly offer. Some of them may be available to take online at any time. Others are only available when we schedule them. Check our calendar to see what courses are currently scheduled. Request

Programming Languages

Compilers There are C/C++ and FORTRAN compilers from different vendors including the Portland Group (PGI) and Intel installed on the cluster. Overall, they perform comparably on most codes. You may find that your codes compile more easily and/or get better

Debuggers

Debugger Description gdb You can use GDB to debug programs written in Fortran, Objective C, C and C++.  GDB can do four main kinds of things (plus other things in support of these) to help you catch bugs in the

Investing in Discovery

Overview The DISCOVERY Cluster is an exciting opportunity for researchers to participate in creating a world-class super computer devoted to furthering research at Dartmouth. Researchers considering their own purchase of a Linux cluster are invited to consider the advantages of

Cluster Details

Discovery  is a Linux cluster comprised of: 85 16-Core (2x) Intel nodes (1360 cores) 18 24-Core (2x) Intel nodes (432 cores) 13 40-core (2x) Intel nodes (520 cores) 10 64-core (2x) AMD nodes (640 cores) In aggregate, the cluster has

Discovery Overview

The Discovery infrastructure has undergone a substantial expansion, now comprising over 6,000 computational cores on CentOS linux. This system is further bolstered by an array of GPU nodes that incorporate 10 A100 GPUs, 72 A5500 GPUs, and 12 V100 GPUs.

Help

Here you will find help with accessing and using the resources we provide the Dartmouth Community. As always, feel free to email Research.Computing@dartmouth.edu with questions or requests, or if you don’t find what you are looking for here. FAQs Information

High Performance Computing Resources

Our powerful Linux HPC cluster with GPU nodes and highspeed interconnects gives researchers the ability to work with a large volume of data and run complex, processing-intensive programs.

Andes and Polaris

Andes Andes is a shared memory computer (SMP) with 60 physical cores (120 logical cores with HyperThreading turned on), 64-bit Intel processors, and 512 GB of memory.  It runs Red Hat Enterprise Linux 7 and is mostly used to run

Software Applications

Our systems support applications for Bioinformatics, Chemistry, Mathematics, Statistics, Data Visualization and more. Take a look at our list of available applications.