Large-scale computational resources

Research Computing is dedicated to enabling research, accelerating discovery, and spurring innovation at Arizona State University (ASU) through the application of advanced computational resources to grand challenges in science, engineering, and health. Offering a team of systems professionals, architects, scientific software engineers, and research facilitators, ASU Research Computing provides technical expertise in all areas of computing, including parallel computing, big data analytics, scientific visualization, high-speed networking, and cybersecurity. Research Computing provides ASU faculty and students access to accelerated high performance computing resources comprising:

• Over 38,200 CPU cores and over 580 GPU accelerators across two supercomputers
• 10PB research data storage platform for project-term data
• Dedicated virtual machines for specific research environments
• A FISMA high secure computing environment, with 1700 CPU cores and 20 A100 80GB GPUs, managed by a HIPAA Covered Entity, supporting computational research on sensitive data

Popular software applications

A variety of software packages are available on Research Computing's resources. Below is a representation of some of our most popular software applications.

• Matlab
• Python—and Juypter interface—including many modules, including tensorflow, numpy, scipy and pandas
• R—and RStudio interface—including many packages such as tidyverse and bioinformatics tools and other statistics packages such as sas and stata
• Domain-specific packages, such as LAMMPS, WRF, GATK, Rosetta and Gromacs

Get Started  

Research Computing supports research and discovery at ASU by offering computational resources and expertise to all researchers and students. To get started with using Research Computing, ASU researchers and students may request access to these computational resources by Creating an Account. Once your account has been created, you will receive an email. All accounts on our supercomputers use your ASURITE login and password.  

Academic Course Support for Faculty

Research Computing supports many academic courses throughout the year. For faculty who are teaching academic courses that will be supported by Research Computing's resources and who need to create temporary accounts for their classes each semester, please fill out this request form. Basic information about your academic course, a class roster (.csv, Excel, or text file) that includes the first and last names of your students as well as their ASURITE ids will be required. Once submitted, a member of our team will reach out and assist with this request. Additional instructions for faculty can be found here. 

Training and Workshops 

Research Computing offers a wide variety of educational resources including virtual or in-person workshops and training sessions, hosted virtual “office hours,” online training materials, and user documentation. Below are some examples of the training provided to the community.

• Beginner's Guide to Research Computing

• How to Use the Linux Shell

• Simplifying Data Transfers with Globus

• Python: Applications and Uses in Research Computing

• Introduction to R for Research Computing

• Accelerating Research with GPUs 

• Applications and Uses of MATLAB

• Python: Deep Learning

• Python: Machine Learning

• Advanced Computing Techniques

• Software Carpentry Lessons 

For an updated list of Research Computing workshops and useful resources, visit our documentation site here. 

Research and Proposal Support

Research Computing provides a variety of resources to the ASU research community with the goal of enabling research, accelerating scientific discovery, and spurring innovation through the use of advanced computational resources.

The following customized resources are available to you:

• Proposal support or a personal consultation
• Letter of Collaboration
• Hardware quotes for proposal budgets

The following support documents have been provided to help you plan for your research proposal:

• Data Management Plan
• Facilities Statement
• Research Computing Overview

In addition, we have provided detailed guidelines for acknowledging Research Computing in your publications.

• Acknowledgment Guidelines

Leadership

• Douglas Jennewein, Senior Director, Research Computing, Research Technology Office

• Marisa Brazil, Associate Director, Research Computing, Research Technology Office

Location and Office Hours

Research Computing Office Hours

Contacts