The Big Data in Transportation and Mobility symposium held June 22-23, 2017, in Ann Arbor, MI brought together more than 150 data science practitioners from academia, industry and government to…
MICDE is pleased to announce the recipients of the 2017-2018 MICDE Fellowships for students enrolled in the PhD in Scientific Computing or the Graduate Certificate in Computational Discovery and Engineering….
The University of Michigan is beginning the process of building our next generation HPC platform, “Big House.” Flux, the shared HPC cluster, has reached the end of its useful life….
Advanced Research Computing – Technology Services (ARC-TS) has an exciting opportunity for a Research Cloud Administrator. This position will be part of a team working on a novel platform for research…
Latest Twetter Feeds
RT @urcmich:#Mcity to launch #driverless shuttle service at @UMich | @Mlive https://t.co/RCymMWwltn #autonomous
Starting in 15 mins at #BigData in Transportation: Keynote from Chris Stewart, OSU, and Shoreh Elhami, Columbus. https://t.co/zWlmGwULfK
Correction: Keynote at 10:15 from Chris Stewart, Ohio State, and Shoreh Elhami, City of Columbus. Join us at the Mi… https://t.co/AcMqAyTjZu
June 28 @ 2:00 pm - 3:00 pm
The University of Michigan is beginning the process of building our next generation HPC platform, “Big House.” Flux, the shared HPC cluster, has reached the end of its useful life….
ARC Highlights
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
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
$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.
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).
