December 14, 2012
CHICAGO, Ill., Dec. 14 – Over the next several decades, the population of the world’s cities will nearly double, increasing by 2.6 billion people. Concurrently, an unprecedented volume and diversity of data is being collected and published by an increasing number of cities, providing opportunities to optimize the operation of cities and anticipate the impact of their growth using computational methods and tools.
To seize this opportunity, the new Urban Center for Computation and Data (UrbanCCD) will apply the most advanced computational and data-driven techniques to the challenge of intelligent urban planning and design.The center will be initially funded by a $600,000 grant from the National Science Foundation that unites researchers from several Chicago institutions, city officials and private enterprise with the Computation Institute (CI), a joint initiative between the University of Chicago and Argonne National Laboratory.
"We're seeing accelerated urbanization globally, outpacing traditional tools and methods of urban design and operation," said UrbanCCD Director Charlie Catlett, CI Senior Fellow and Senior Computer Scientist at Argonne National Laboratory. "The consequences are seen in inefficient transportation networks belching greenhouse gasses and unplanned city-scale slums with crippling poverty and health challenges. There is an urgent need to apply advanced computational methods and resources to both explore and anticipate the impact of urban expansion and find effective policies and interventions."
The collaboration will analyze urban data and build complex computer models that simulate the impact of policy decisions and development upon a city and its residents. For example, a multi-dimensional model could simulate the impact of adding or subtracting bus lines on a region's crime, unemployment or access to health care. Urban planners and architects can simulate the energy and infrastructure needs of new, large-scale developments with unprecedented depth of detail before construction begins.
A starting point for UrbanCCD research will be hundreds of data sets published by the City of Chicago Data Portal, an initiative dedicated to open government data. Earlier this week, Chicago Mayor Rahm Emanuel signed an executive order expanding the release of data from city agencies.
"Here in Chicago, analytics is informing our decisions, making City services smarter and more effective and continually pushing us to a place where we can innovate and move forward. Our ambitious open data program works in tandem, engages a broad community that supports this innovation," said Brett Goldstein, Chief Data Officer at the City of Chicago. "A center dedicated to open and collaborative research and planning around data-driven analysis will help feed intelligent urban policy and sustain innovation not just in Chicago but in cities across the world."
The center's first major project is a $600,000 grant from the National Science Foundation to create the Urban Sciences Research Coordination Network (USRCN), which unites social, economic, health and computational scientists to develop a roadmap for data-driven urban sciences. USRCN will engage collaborators internationally, with an initial team from CI, UChicago, Argonne, the University of Chicago Medical Center, Chapin Hall, the School of the Art Institute of Chicago, the City of Chicago, and the Chicago-based international architecture firm Skidmore, Owings & Merrill.
As Chicago and an increasing number of other cities are releasing datasets on crime, public transportation, schools, budgets and other areas to the public for open use, urban researchers used to working with scarce and outdated information are finding new opportunities and challenges in this abundance of data. The USRCN will form and support interdisciplinary teams to identify the relevant questions this flood of urban data can support, and identify the capabilities and resources required to pursue that research.
"UrbanCCD is an ambitious example of the interdisciplinary mission of the Computation Institute and the potential of computational science to improve the world," said Ian Foster, director of the CI. "By working with academic experts, city officials and industry, this new center can catalyze the groundbreaking discoveries needed to keep pace with rapid urbanization."
The Computation Institute (CI) is an intellectual nexus for scientists and scholars pursuing multi-disciplinary research and a resource center for developing and applying innovative computational approaches. Founded in 1999, it is home to over 100 faculty, fellows, and staff researching complex, system-level problems in such areas as biomedicine, energy and climate, astronomy and astrophysics, computational economics, and molecular engineering. CI is home to diverse projects including CIM-EARTH, the Center for Robust Decision Making on Climate and Energy Policy, the Center for Multiscale Theory and Simulation, and Globus Online.
-----
Source: The Computation Institute
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Read more...
Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
Read more...
Supercomputing veteran, Bo Ewald, has been neck-deep in bleeding edge system development since his twelve-year stint at Cray Research back in the mid-1980s, which was followed by his tenure at large organizations like SGI and startups, including Scale Eight Corporation and Linux Networx. He has put his weight behind quantum company....
Read more...
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...
May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
Read more...
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
Read more...
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
Read more...
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.