WHAT’S HAPPENING

Mini-course: Introduction to Python — Sept. 11-14

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Asst. Prof. Emanuel Gull, Physics, is offering a mini-course introducing the Python programming language in a four-lecture series. Beginners without any programming experience as well as programmers who usually use other languages (C, C++,…

Info sessions on graduate studies in computational and data sciences — Sept. 21 and 25

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Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided The Ph.D. in Scientific Computing is open to all Ph.D. students who will make…

HPC training workshops begin Thursday, Sept. 21

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A series of training workshops in high performance computing will be held Sept. 21 through Oct. 31, 2017, presented by CSCAR in conjunction with Advanced Research Computing – Technology Services (ARC-TS)….

U-M, SJTU research teams share $1 million for data science projects

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Five research teams from the University of Michigan and Shanghai Jiao Tong University in China are sharing $1 million to study data science and its impact on air quality, galaxy…

Latest Twetter Feeds

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U-M joins NSF-funded SLATE project to simplify scientific collaboration on a massive scale: https://t.co/0AS42kPbR0 #DataScience #Science 
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RT @drob:Most of the technologies growing within Python community are related to data science: e.g. pandas, NumPy, TensorFlo… https://t.co/hBRiVcKKQT 

September 22 @ 5:00 pm - 6:00 pm

MIDAS Seminar: Jimmy Soni & Rob Goodman, authors of “A Mind at Play: How Claude Shannon Invented the Information Age”

Authors Jimmy Soni and Rob Goodman will talk about their new book on U-M alum Claude Shannon: “A Mind at Play: How Claude Shannon Invented the Information Age.” The talk will…

September 28 @ 1:00 pm - 4:30 pm

Introduction to the Flux cluster and batch computing

Overview This workshop will provide a brief overview of the components of the Flux Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions…

October 2 @ 9:00 am - 12:00 pm

Introduction to the Flux cluster and batch computing

Overview This workshop will provide a brief overview of the components of the Flux Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions…

October 10 @ 1:00 pm - 5:00 pm

Advanced batch computing on the Flux cluster

Overview This course will cover some more advanced topics in cluster computing on the U-M Flux Cluster. Topics to be covered include a review of common parallel programming models and…

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