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

WHAT’S NEW

U-M fosters thriving artificial intelligence and machine learning research

| General Interest, HPC, News, Research | No Comments
Research using machine learning and artificial intelligence — tools that allow computers to learn about and predict outcomes from massive datasets — has been booming at the University of Michigan.…

Yottabyte Research Cloud able to accept HIPAA-aligned data

| General Interest, HPC, News | No Comments
Advanced Research Computing - Technology Services (ARC-TS) is pleased to announce that the Yottabyte Research Cloud (YBRC) computing platform is now HIPAA-compliant. This means that YBRC and its associated services…

ARC Director Sharon Broude Geva re-elected vice-chair of Coalition for Academic Scientific Computing

| General Interest, News | No Comments
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…

U-M wraps up successful SC17 conference

| General Interest, Happenings, HPC, News | No Comments
Several University of Michigan researchers and professional IT staff attended the Supercomputing 17 (SC17) conference in Denver from Nov. 12-17, participating in a number of different ways, including demonstrations, presentations…

See more

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.

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


C. Alberto Figueroa
Associate Professor

Alberto Figueroa is an Associate Professor with a joint appointment in Biomedical Engineering and Surgery. He works on computational methods for patient-specific cardiovascular simulation. Modeling the function of the cardiovascular…