The Michigan Institute for Computational Discovery and Engineering (MICDE) focuses on the development and innovative use of mathematical algorithms and models on high performance computers (HPC) to support basic and applied research and development across a wide spectrum of disciplines in science and engineering.

WHAT’S NEW

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.

New graduate course offering: “Methods and Practice of Scientific Computing”

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The Michigan Institute for Computational Discovery and Engineering (MICDE) is pleased to announce “Methods and Practice of Scientific Computing”, the first graduate course designed and organized by MICDE faculty. The course…

Krishna Garikipati appointed Director of MICDE

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Statement from S. Jack Hu, U-M Vice President for Research: I’m very pleased to announce that Prof. Krishna Garikipati (Mechanical Engineering and Mathematics) has been appointed the new Director of…

MICDE Highlights

Data 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.

Paul Zimmerman, Michael Cafarella and Honglak Lee named 2016 Sloan Fellows

MICDE faculty members Paul Zimmerman (Chemistry) and Michael Cafarella (Computer Science), and MIDAS faculty member Honglak Lee (Computer Science) have been awarded 2016 Sloan Research Fellowships, which seeks to stimulate fundamental research by early-career scientists and scholars of outstanding promise.

Prof. Zimmerman’s research group develops and employs a broad spectrum of computational techniques to chemical problems.

Prof. Cafarella is a co-creator of Hadoop, the data processing system behind Yahoo, Twitter, and Facebook.

Prof. Lee’s research lies in machine learning and its applications to artificial intelligence.

For more information about the award see the press release.

Symposium Poster Winners

Three winners of the Michigan Institute for Computational Discovery and Engineering (MICDE) Poster Competition, held at the MICDE Annual Symposium, were announced April 7, 2016.

They are:

First place – Elizabeth Hou, Statistics (A. Hero), LSA
“Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies”

Second place – Doreen Fan and J. Brad Maeng, Aerospace (P. Roe), CoE
“Is there a better way to solve conservation laws?”

Third place – Rose Cersonsky, Macromolecular Science and Engineering (S. Glotzer), CoE
“Understanding Spatial Packing via Variable Shape”

Approximately 50 posters took part in the competition. The winners were chosen by a vote of symposium attendees.

Seeking HPC-related publications

Advanced Research Computing (ARC) maintains a list of journal and conference publications that involve the use of Flux and/or other research computing resources provided by Advanced Research Computing – Technology Services.

In order to keep this list up to date, we are asking investigators to submit publications from 2015 to the present by emailing Commmunications Manager Dan Meisler (dmeisler@umich.edu).

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.

Featured Faculty Member


Jablonowski Christiane Jablonowski
Associate Professor

Christiane Jablonowski is an Associate Professor in the Department of Climate and Space Sciences and Engineering. Her research is highly interdisciplinary and combines atmospheric science, applied mathematics, computational science and…