Advanced Research Computing – Technology Services provides access to and support for the use of advanced computing resources that enable powerful approaches to research challenges in a wide range of fields.


Graduate programs in computational and data science — informational sessions Sept. 19 & 21

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Students interested in computational and data science are invited to learn about graduate programs that will prepare them for success in computationally intensive fields. Pizza and pop will be provided….

MICDE Fall 2016 Seminar Series speakers announced

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The Michigan Institute for Computational Discovery and Engineering (MICDE) is proud to announce its fall lineup of seminar speakers. In cooperation with academic departments across campus, the seminar series brings…

Registration open for on-campus telecast of XSEDE workshop on MPI — Sept. 7-8

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U-M is hosting a telecast of a workshop on MPI (message passing interface) presented by XSEDE and the Pittsburgh Supercomputing Center. This workshop is intended to give C and Fortran…

U-M team uses Flux HPC cluster for pre-surgery simulations

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Last summer, Alberto Figueroa’s BME lab at the University of Michigan achieved an important “first” – using computer-generated blood flow simulations to plan a complex cardiovascular procedure. “I believe this is…

August 30 @ 1:00 pm - 4:00 pm

Data Science Skills Series week 4

Machine Learning in Python (Scikit-Learn) This workshop will cover the essentials of machine learning algorithms using Python. It is designed for participants who have some experience in Python. Topics include: Linear…

September 7 @ 11:00 am - 5:00 pm

On-campus telecast of XSEDE workshop on MPI

U-M is hosting a telecast of a workshop on MPI (message passing interface) presented by XSEDE and the Pittsburgh Supercomputing Center. This workshop is intended to give C and Fortran…

September 13 @ 4:10 pm - 5:00 pm

MICDE Seminar: Nathan Kutz, University of Washington

Bio: Nathan Kutz is the Robert Bolles and Yasuko Endo Professor in the department of Applied Mathematics, and an adjunct professor of Electrical Engineering and Physics at the University of Washington….

September 16 @ 8:00 am - 7:00 pm

Claude E. Shannon Centennial Symposium

Claude E. Shannon was born in Petoskey, MI and grew up in Gaylord, MI. After graduating from the University of Michigan with degrees in electrical engineering and mathematics in 1936, he…

Latest Twetter Feeds

Restart of Moab on Flux is complete. 
Restarting Moab on Flux again. 
Moab on Flux has been restarted. 

ARC-TS Highlights

MDST team

Flux cluster now available to undergraduates

Service available at no cost

Under ARC-TS’s new Flux for Undergraduates program, student groups and individuals with faculty sponsors can access Flux for free.

Seeking HPC-related publications

Advanced Research Computing (ARC) maintains a list of journal and conference publications that involve the use of Flux and/or other research computing resources provided by Advanced Research Computing – Technology Services.

In order to keep this list up to date, we are asking investigators to submit publications from 2015 to the present by emailing Commmunications Manager Dan Meisler (

ARC-TS Associate Director Brock Palen talks about ConFlux cluster

At OpenPOWER Summit

Summer HPC maintenance completed

Flux and Armis recently underwent significant maintenance and upgrades. Please check our Twitter feed for status updates, and visit the 2016 Upgrade FAQ page for more information.

Close up of Armis cluster

Introducing Armis

HIPAA-aligned HPC cluster

The new Armis cluster, when used with the Turbo Research Storage service, allows for the storage and analysis of data governed by HIPAA backed by the power of high performance computing.

Flux capacity increased

Seventh generation nodes added Feb. 2016

As part of regular upgrades to our high performance computing resources, ARC-TS has increased the capacity of the Flux HPC cluster.

These newest (seventh generation) nodes include:

  • 167 Standard Flux nodes with 24 cores and 128 GB RAM each
  • 4 Large Memory Flux nodes with 56 cores and 1.5 TB RAM each
  • Connected via EDR (100 Gbps) Infiniband
  • Adds a total of 4,232 cores and 27 TB RAM to Flux.