Research Computing Services — RCS

Research Computing Services (RCS), a team within CUIT's Research Services department, is responsible for providing technology resources to support Columbia's researchers and the University's mission to be a leading driver of research, innovation and the advancement of knowledge.

The Research Computing Services team hosts a number of workshops to help you get the most out of our High Performance Computing Cluster. Additionally, we hold an HPC Open Lab the first Monday of every month for those who have additional questions. Download our one-page handout on our workshops and training services to share our offerings with your team or department!

Workshops and Training

Next Workshop: January 2021 (Date TBA)
Resources from November Workshop

This is part one of a two part workshop series about how the cloud can be leveraged to accelerate your research at Columbia. This workshop includes an introduction to the cloud and foundational concepts around cloud computing. Cloud computing is an ever growing and evolving set of tools and services that can empower researchers to quickly build resources to store, manage, and analyze data.

In this first workshop session, you will learn:

- What is the cloud?
- What are advantages and disadvantages of using the cloud for research?
- What cloud resources are available to me?
- How do I set up compute, storage, and billing resources?

The second workshop, entitled High Performance Computing on Google Cloud Platform, will focus on practical step-by-step tutorials on leveraging cloud resources for popular workflows.

Next Workshop: January 2021 (Date TBA)
Resources from November Workshop

This is the second part of a two part workshop series about how the cloud can be leveraged to accelerate your research at Columbia.

Building on the concepts introduced in the Introduction to Cloud Computing for Research workshop, this session will focus on practical step-by-step tutorials on leveraging cloud resources for popular workflows, including:

- Setting up your own High Performance Computing cluster in GCP.
- Using Machine Learning Notebooks in GCP.
- Using a GPU accelerated workstation in GCP.

First Monday of every month, 3–5pm 
RSVP required

Held via Zoom

Is computer processing time holding back your work? Are your projects running into the limits of your machine’s capacities? High Performance Computing (HPC)—sometimes called supercomputing—delivers more efficiency and accuracy than your typical workstation by aggregating computing power, allowing you to run more complex experiments and solve larger problems. RSVP to learn more. Staff from Research Computing Services are on call to help with projects, general questions, or just to get started!

Spring 2021

Come learn the basics of the Linux command line as a prelude to learning how to use the High Performance Computing (HPC) resources at Columbia. This is the first in a series of workshops about using HPC to enhance your research. Note: please have your laptop ready for this session; instructions will follow on how to set up the necessary environment on your laptop to use Linux.

Spring 2021

Come learn the basics of scripting in the Linux operating system as a prelude to learning how to use the High Performance Computing (HPC) resources at Columbia. This is the second in a series of workshops about using HPC to enhance your research. Note: please have your laptop ready for this session; instructions will follow on how to set up the necessary environment on your laptop to use Linux.

Spring 2021

Come learn how to use High Performance Computing (HPC) on Columbia's Yeti cluster. This is the third in a series of workshops about using HPC to enhance your research. Please attend the Intro to Linux or Intro to Linux Scripting workshop prior to this session if you are new to either topic. Note: please have your laptop ready for this session; instructions will follow on how to set up the necessary environment on your laptop to use HPC.

We are happy to provide assistance to Columbia faculty members, and postdoctoral researchers who are eligible principal investigators (PIs,) in obtaining access to an allocation on XSEDE, as well as support in getting started on that cluster. Email us at rcs@columbia.edu for more information.