Join us for 24 hours of coding, swag, and $6000 in prizes! Experience opportunities to develop your own side project, network with engineers from major companies, and meet hackers from all around the US! Now a hacker? We have categories for data science and digital arts projects as well!
Research Computing facilitates and enables the advancement of research by providing leading-edge computing services
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.
We offer consulting; programming and software development; and support for GIS, statistics, and more. Most of our services are available at no cost to members of the Dartmouth Community.
Our systems support applications for Bioinformatics, Chemistry, Mathematics, Statistics, Data Visualization and more. Take a look at our list of available applications.
We are excited to announce a new service to Dartmouth researchers – DartFS, a next generation storage solution that will provide ample capacity and the ability to access your files in multiple ways from multiple devices. New users to DartFS DartFS
Informed by the findings of the 2013 Subcommittee of the Council on Computing and the 2015 HPC Taskforce, Research Computing, working with colleagues in Information, Technology & Consulting (ITC) is pleased to announce the new Dartmouth Research Computing (RC) Bill of
Research Computing provides support to researchers across a wide spectrum of fields and disciplines. We have an especially extensive collection of resources, services, and experts in:
From ancient coins to cancer cells, from painted maps to polling stations; our projects take us many unexpected places.
Research Computing has been working with Professor Nicola Camerlenghi to create a 3D reconstruction of the Basilica of St. Paul in Rome, using the Unity Game Engine. The collaboration was initiated by the Neukom Institute and supported by a CompX
Slides from our recent workshop, titled “Using R for Basic Spatial Analysis” Course description: A variety of packages are available to view and analyze spatial data in the R environment. Come to our workshop on Wednesday, February 14th from 2pm
Programming with R, Part 1 Slides from our recent workshop, and RStudio’s ‘quick list of useful R packages’ to extend R’s programming capabilities and to connect to databases using SQL, wrangle and visualize data, generate web apps, work with GIS