Environmental Data Commons Workshop — June 9, Chicago

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The Center for Data Intensive Science at the University of Chicago is hosting a one day workshop in Chicago on June 9, 2016 on environmental data commons and data sharing….

NSF’s Advanced Cyberinfrastructure Division seeks community input

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The National Science Foundation is seeking input from the research computing community as part of a review of its Advanced Cyberinfrastructure Division.

2016-2017 MICDE Student Fellowship recipients announced

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MICDE is pleased to announce the recipients of the 2016-2017 MICDE Fellowships for students enrolled in the PhD in Scientific Computing or the Graduate Certificate in Computational Discovery and Engineering.

White papers due for MIDAS Challenge Initiatives June 30

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The second round of the Michigan Institute for Data Science (MIDAS) Challenge Initiatives is open, with the deadline for initial funding submissions on June 30. MIDAS is seeking proposals in…

Latest Twetter Feeds

ICYMI: New graduate-level course in scientific computing at University of Michigan: https://t.co/cdoZs6Vy0q 
ICYM: Michigan Institute for Computational Discovery and Engineering (MICDE) 2016-7 fellowship recipients announced: https://t.co/YaTzGdgl4O 

June 2 @ 11:30 am - 2:00 pm

UMTRI Speaker Series: Henry Liu, Next Generation Traffic Control Systems with Connected and Automated Vehicles

Abstract: Traditionally traffic signal systems are designed in such a way that different time slots are allocated to conflicting traffic streams in order to ensure vehicle safety. In the future, such design constraints may…

July 18 @ 12:00 am - July 22 @ 12:00 am

MIDAS hosting Data Science Summer Camp for high school students

The Michigan Institute for Data Science (MIDAS) is hosting a data science summer camp for juniors and seniors in high school, from July 18 – 22, 2016. Students in the camp,…

October 14 @ 4:00 pm - 5:30 pm

Gary King, PhD, Harvard, Institute for Quantitative Social Science – MIDAS Seminar Series

Bio: Dr. King is the Albert J. Weatherhead III University Professor at Harvard University — one of 24 with the title of University Professor, Harvard’s most distinguished faculty position. He is based…

October 27 @ 8:00 am - October 28 @ 5:00 pm

Big Data: Improving the Scope, Quality and Accessibility of Financial Data

The Office of Financial Research and the University of Michigan will host a joint conference, “Big Data: Improving the Scope, Quality, and Accessibility of Financial Data” in Ann Arbor, Michigan. …

ARC Highlights

Lights of India visualization

Electricity in India

Many still live in darkness

U-M Assistant Professor of Political Science Brian Min is using the Flux high performance computing cluster to analyze thousands of satellite images showing the output of electric lights in India.

His Nightlights website shows satellite images collected over 20 years from more than 600,000 villages. Min’s research reveals that some local units of government have overstated their progress in electrification, and that political considerations play into which regions get electricity, among other things.

Read the U-M press release for more details.

U-M featured on CASC brochure


An image from the lab of Prof. Joaquim Martins, Aerospace Engineering, is featured on the cover of the 2016 brochure of the Coalition for Academic Scientific Computation (CASC). U-M researchers Alberto Figueroa (Surgery and Biomedical Engineering) and Venkat Raman (Aerospace Engineering) are also included in the report, which highlights notable computational research from the past year.

CASC is an 85-member non-profit group advocating for the use of the most advanced computing technology to accelerate scientific discovery for national competitiveness, global security, and economic success, as well as development of a diverse and well-prepared 21st century workforce

Conflux visualization


Combining Big Data and HPC

A new way of computing could lead to immediate advances in aerodynamics, climate science, cosmology, materials science and cardiovascular research.

The National Science Foundation will provide $2.42 million to develop a unique facility for refining complex, physics-based computer models with big data techniques at the University of Michigan. The university will provide an additional $1.04 million.

See the grant description and press release for more information.

Second round of MIDAS grants open

Social Science and Health Science

The second round of the Michigan Institute for Data Science (MIDAS) Challenge Thrust Awards is open. Up to two grants will be awarded in each area: Social Science and Health Science.

Requests for proposals can be found on the MIDAS website. White papers are due June 30.

Animation of reducing the bottleneck effect

$5 million to widen ‘bottleneck to discovery’

An NSF grant will create a software-defined network between three Michigan universities

Buried in troves of data that scientists have gathered, but not yet analyzed, could be key insights to improving cancer treatment, understanding Alzheimer’s, predicting climate change effects and developing cheaper, clean energy technologies.

Those are just a few of the countless examples of fields where our capacity to gather scientific data now far exceeds our capacity to crunch it—especially when collaborations span the globe. Some research projects are producing the equivalent of 1,000 consumer hard drives a month, for example. Read more.

RCS Fall of 2014 event

Cyberinfrastructure (CI) Days

ARC and its predecessor ORCI held annual Cyberinfrastructure (CI) Days events to bring the computational research community together, including prominent speakers and poster competitions. For information, or to view videos and posters, see below:

CI Days evolved into the annual symposium put on by the Michigan Institute for Data Science (MIDAS) and the Michigan Institute for Computational Discovery and Engineering (MICDE).


High performance computer cluster at the University of Michigan

Current Status


  • Armis
    HIPAA-aligned HPC cluster
    ARC-TS established a HIPAA-aligned cluster in early 2016
  • 2,852
    Current ARC-TS HPC users
  • 22,818
    Number of HPC processors in ARC-TS computing resources
  • 1,087,012
    HPC jobs completed, 1Q 2016
  • 112 TB
    Amount of HPC memory