WHAT’S HAPPENING

Data science institutes at University of Michigan and University College London sign academic cooperation agreement

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ANN ARBOR, MI and LONDON — The Michigan Institute of Data Science (MIDAS) at the University of Michigan and the Centre for Data Science and Big Data Institute at UCL…

HPC training workshops begin Tuesday, Jan. 31

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A series of training workshops in high performance computing will be hed Jan. 31 through Feb. 22, 2017, presented by CSCAR in conjunction with Advanced Research Computing – Technology Services (ARC-TS). All…

MIDAS announces second round of Data Science Challenge Initiative awards, in health and social science

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Five research projects — three in health and two in social science — have been awarded funding in the second round of the Michigan Institute for Data Science Challenge Initiative…

MIDAS to host faculty meeting on NSF BIGDATA solicitation

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The Michigan Institute for Data Science (MIDAS) will hold a faculty meeting at noon on Thursday, January 19 (Suite 7625, School of Public Health I, 1415 Washington Heights) for the NSF 17-534 “Critical Techniques, Technologies…

Latest Twetter Feeds

ARC_UM @ARC_UM
ARCatUM  @ARC_UM
Python Tweeting from the Twitter API workshop. Thanks #CSCAR and @ARC_UM 
ARCatUM  @ARC_UM
RT @WikiResearch:Automated 1-sentence "biographies" from Wikidata, preferred by readers over Wikipedia's 1st sentence in 40% of cases https://t.co/0HfmzWp9Jx 
ARCatUM  @ARC_UM
Everything you wanted to know about NLP terminology but were afraid to ask. https://t.co/P5q104JUYl 

February 24 @ 4:00 pm - 5:00 pm

Jose Perea, PhD, Michigan State University – MIDAS Seminar Series

  Jose Perea, PhD Assistant Professor Departments of Mathematics and Computational Mathematics, Science and Engineering Michigan State University Bio: My research focus lies at the intersection of algebraic topology, data analysis…

April 18 @ 9:00 am - 5:00 pm

2017 MICDE Annual Symposium

Save the date for MICDE’s annual research symposium: “The New Era of Data-Enabled Computational Science”. Confirmed speakers include: Frederica Darema — Director, Air Force Office of Scientific Research George Karniadakis —  Professor of…

ARC Highlights

Year in Review

FY2016-2016 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.

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.

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

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).

Meet FLUX

High performance computer cluster at the University of Michigan

Current Status

ARC IN ACTION

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