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

Software Carpentry workshop at U-M — May 2-3

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A Software Carpentry workshop will be held at the U-M Medical School May 2 and 3. These workshops are free and open to anyone on campus; the sessions are suitable for researchers in the…

U-M software package HOOMD-blue chosen as benchmark for new GPU performance by NVIDIA

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HOOMD-blue, a University of Michigan-produced software package for particle simulation, was chosen as one of seven benchmark applications to demonstrate the speed of NVIDIA’s new Tesla P100 GPU. HOOMD-blue was developed…

Student groups can access Flux at no charge under Flux Academic Use program

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Undergraduate groups can now access Flux, U-M’s shared computing cluster, at no cost under the new Flux Academic Use program from Advanced Research Computing (ARC). Flux Academic Use aims to provide…

Midwest Big Data Hub offers early career seed funding to improve data access — April 1, May 1 deadlines

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The Midwest Big Data Hub, an NSF-funded group including U-M’s Michigan Institute for Data Science (MIDAS), is seeking proposals from early career researchers to enhance collaborations with data-producing organizations to improve…

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


FIGUEROA_Alberto4x5-240x300 C. Alberto Figueroa
Associate Professor

Computational Methods for Patient-Specific Cardiovascular Simulation Modeling the function of the cardiovascular system in health and disease represents a fascinating scientific challenge. This challenge can only be addressed by combining…