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.

Upcoming Events


ConFlux cluster expands

| General Interest, Happenings, HPC, News | No Comments
ARC-TS has installed 15 new compute nodes into the ConFlux cluster. These nodes have the same 20 cores CPU as the original set, but with 256 GB of RAM instead…

HPC training workshops begin Tuesday, Feb. 13

| Educational, Events, General Interest, Happenings, HPC, News | No Comments
A series of training workshops in high performance computing will be held Feb. 12 through March 6, 2018, presented by CSCAR in conjunction with Advanced Research Computing - Technology Services (ARC-TS).…

2016-2017 MICDE Research Snapshot

| Research | No Comments
2016-2017 has been a year of sustained growth for MICDE's research portfolio. The number of faculty affiliated with the institute stands at 130, spanning 30 departments and eight schools and…

2016-2017 Education Snapshot

| Educational, General Interest, News | No Comments
Over the past year, MICDE’s educational programs and activities have experienced tremendous growth. The Graduate Certificate in Computational Discovery and Engineering currently has 50 students enrolled, spanning 19 departments from…

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MICDE Highlights

Data visualization


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.

2017-18 Fellowships Awarded

Twenty graduate students were awarded MICDE Fellowships for the 2017-18 school year. The fellowships carry a $4,000 stipend. Another 10 students were given honorable mentions. Read more…

2017 MICDE Symposium poster winners announced


Victor Wu, Ph.D candidate in Industrial and Operations Engineering, Sambit Das, Ph.D candidate in Mechanical Engineering, and Joseph Cicchese, Ph.D candidate in Chemical Engineering were the lead authors for posters that won the 2017 MICDE poster competition, held at the institute’s annual symposium in April.

The event featured nearly 60 posters.
Read more…

U-M joins NSF-funded SLATE project to simplify scientific collaboration on a massive scale

SLATE will enable creation of new platforms for collaborative science

Services Layer At The Edge (SLATE) is a $4 million project funded by the National Science Foundation, including University of Michigan in a team led by the Enrico Fermi and Computation Institutes at University of Chicago. SLATE will provide technology that simplifies connecting university and laboratory data center capabilities to the national cyberinfrastructure ecosystem. The University of Utah is also participating. Once installed, SLATE connects local research groups with their far-flung collaborators, allowing central research teams to automate the exchange of data, software and computing tasks among institutions without burdening local system administrators with installation and operation of highly customized scientific computing services.. Read more.

Featured Faculty Member

Silas Alben
Associate Professor

Silas Alben is an Associate Professor in the Department of Mathematics, and the Director of the Applied & Interdisciplinary Mathematics program. He uses theoretical analysis, and develops numerical methods and…