WHAT’S HAPPENING

MIDAS researchers’ papers accepted at ACM KDD data science conference in London

| General Interest, Happenings, News, Research | No Comments
Several U-M faculty affiliated with MIDAS will participate in the KDD2018 Conference in London in August. The meeting is held by the Associate for Computing Machinery's Special Interest Group in…

Dinov article: Building consensus on data science education and training

| Research | No Comments
Dr. Ivo Dinov, professor of Computational Medicine and Bioinformatics, Human Behavior, and Biological Science, and associate director of MIDAS, recently published an article on the training and education curricula needs…

STATCOM featured in American Statistical Association magazine

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The U-M Statistics in the Community (STATCOM) group was recently featured in AMSTATNEWS, the magazine of the American Statistical Association. Read the article at https://magazine.amstat.org/blog/2018/04/01/statcom-universities/. STATCOM is supported in part by…

MICDE awards seven Catalyst Grants

| General Interest, Happenings, News, Research | No Comments
The Michigan Institute for Computational Discovery and Engineering has awarded its second round of Catalyst Grants, providing between $80,000 and $90,000 each to seven innovative projects in computational science. The…

Latest Twetter Feeds

ARC_UM @ARC_UM

July 26 @ 2:00 pm - 5:00 pm

Spatial regression

This workshop will develop introductory concepts, tools, and techniques to model spatially referenced data observed over a regular or irregular grid. We will cover models such as spatial autoregressive that…

August 6 @ 8:30 am - 4:30 pm

Single-Cell Data Analytics Symposium 2018

Please join us for the second annual Single-cell Genomic Data Analytics Symposium. The day long symposium will highlight researchers from U-M and around the world whose work is on the…

August 28 @ 2:00 pm - 4:30 pm

Geostatistical modeling

Geostatistics deals with continuous variation over space and emphasizes the idea of spatial correlation via covariance. It is widely used for spatial interpolation. We will use ArcGIS and R to…

September 13 @ 9:00 am - 2:00 pm

Data-Intensive Social Science Challenge Symposium

Data-intensive social science is one of the research focus areas that MIDAS supports with its Challenge Awards. Our long-term goal is to support this research area more broadly, using the…

ARC Highlights

Year in Review

FY2017-2018 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 re-elected as vice-chair of CASC

 

Sharon Broude Geva, the Director of Advanced Research Computing at the University of Michigan, has been re-elected vice-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
  • 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