WHAT’S HAPPENING

Women in HPC launches mentoring program

| Educational, General Interest, HPC, News | No Comments
Women in High Performance Computing (WHPC) has launched a year-round mentoring program, providing a framework for women to provide or receive mentorship in high performance computing. Read more about the…

Balzano wins NSF CAREER award for research on machine learning and big data involving physical, biological and social phenomena

| General Interest, Happenings, News, Research | No Comments
Prof. Laura Balzano received an NSF CAREER award to support research that aims to improve the use of machine learning in big data problems involving elaborate physical, biological, and social phenomena. The…

MIDAS adds Associate Directors to boost campus engagement

| General Interest, Happenings, News | No Comments
The Michigan Institute for Data Science (MIDAS) has added two Associate Directors who will help increase outreach to all academic units at the University of Michigan. Pamela Davis-Kean, Professor of…

Capecelatro wins NSF CAREER award for work on modeling turbulent reacting particle-laden flows

| General Interest, Happenings, News, Research | No Comments
Jesse Capecelatro, assistant professor of Mechanical engineering and MICDE affiliated faculty member, has been awarded an NSF CAREER grant for his project "Toward Understanding and Modeling Turbulent Reacting Particle-Laden Flows.

March 26 @ 2:00 pm - 4:00 pm

Go for data processing 1/2/3

This is a three-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn…

April 1 @ 3:30 pm - 5:00 pm

Understanding How the Brain Processes Music Through the Bach Trio Sonatas

This event is open to the public. Daniel Forger, Professor of Mathematics and Computational Medicine and Bioinformatics James Kibbie, Professor of Music and Chair of the Organ Department, University Organist…

April 2 @ 2:00 pm - 4:00 pm

Go for data processing 1/2/3

This is a three-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn…

April 3 @ 1:00 pm - 4:00 pm

Sliding into Slurm: An early look at U-M’s new high-performance computing environment

This workshop will provide a brief overview of the the new HPC environment and is intended for current Flux and Armis users.  We will use the temporary Beta HPC cluster…

ARC Highlights

Year in Review

FY2018-2019 highlights

The Advanced Research Computing Year in Review report is now available to view or download. It outlines the progress in research, infrastructure and education fostered by ARC over the past year.

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.

Sharon Broude Geva

Sharon Broude Geva elected as chair of CASC

 

Sharon Broude Geva, the Director of Advanced Research Computing at the University of Michigan, has been elected chair of the Coalition for Academic Scientific Computation (CASC).

Founded in 1989, CASC advocates for the use of advanced computing technology to accelerate scientific discovery for national competitiveness, global security, and economic success. The organization’s members represent 84 institutions of higher education and national labs.

Read more…

Conflux visualization

ConFlux

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.

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

ARC Symposia and Cyberinfrastructure (CI) Days

ARC’s multidisciplinary research institutes, the Michigan Institute for Data Science (MIDAS) and the Michigan Institute for Computational Discovery and Engineering (MICDE), hold annual symposia bringing together like-minded researchers from across U-M and beyond.

ARC’s predecessor, the Office of Research Cyberinfrastructure or ORCI held annual Cyberinfrastructure (CI) Days events to bring the computational research community together, including prominent speakers and poster competitions:

Meet FLUX

High performance computer cluster at the University of Michigan

ARC IN ACTION

  • Armis
    HIPAA-aligned HPC cluster
    anemptytextlline
    ARC-TS established a HIPAA-aligned cluster in early 2016
  • 4,000+
    Current ARC-TS HPC users
  • 27,000+
    anemptytextlline
    Number of HPC processors in ARC-TS computing resources
  • 4,000,000+
    HPC jobs completed, FY18-19
  • 90,000,000+
    CPU hours used, FY18-19