14
Nov
2017

A share of a prestigious award, a demo of a new research data portal, and a plenary talk are among the highlights of CI research at this week’s SC17 Supercomputing conference in Denver, CO.

10
Nov
2017

Two new research divisions at the U.S. Department of Energy’s (DOE) Argonne National Laboratory will focus its lab-wide foundational expertise on computational science and data science activities. The new Data Science and Learning Division, led by CI Senior Fellow Ian Foster, and the Computational Science Division will enhance lab-wide, cross-cutting capabilities to enable new scientific knowledge and insight in a wide range of disciplines.

24
Oct
2017

The OpenStack platform is a key player in the cloud computing present, while the CI's Chameleon project is concerned with cloud computing's future, offering a testbed for researchers to try out experimental architectures and applications. But a recent intersection between the two projects led to an exciting outcome, as a component called Blazar revived by Chameleon developers was recently voted an official component by the OpenStack Technical Committee.

20
Sep
2017

​Services Layer At The Edge (SLATE), a new $4 million project funded by the National Science Foundation and led by a team from the Enrico Fermi and Computation Institutes at University of Chicago, will provide technology that simplifies connecting university and laboratory data center capabilities to the national cyberinfrastructure ecosystem, enabling global research collaboration.

06
Sep
2017

For decades, fierce debates have raged over the benefits of different programming languages over others: Java vs. C++; Python vs. Ruby; Flask vs. Django. While often waged with religious fervor by computer scientists and programmers, these debates tend to rely on anecdotal evidence, with very little rigorous comparison of programming approaches or the larger question of how software may augment human thinking.

05
Sep
2017

A new grant from the National Science Foundation extends the Chameleon cloud computing testbed for another three years, allowing the project led by University of Chicago and Computation Institute scientists to enter its next phase of computer science innovation. Upgrades to hardware and services as well as new features will help scientists rigorously test new cloud computing platforms and networking protocols.

31
Aug
2017

Globus, the leading research data management service, today announced general availability of Globus for Google Drive, a new capability that lets users seamlessly connect Google Drive with their existing storage ecosystem, enabling a single interface for data transfer, sharing and publication across all storage systems.

10
Jul
2017

For the last two years, the Chameleon testbed has enabled researchers around the world to push the limits of cloud computing in areas such as astronomy, cybersecurity, and education. The project, led by the Computation Institute, has thus far served over 14000 users as an experimental, highly customizable environment where they can test new architectures and applications, at the kinds of scale needed for today's big data projects. To commemorate established achievements and plan for the future of the testbed, Chameleon will host its first user meeting this September at Argonne National Laboratory. 

22
Jun
2017

Imagine you were able to solve a problem 50 times faster than you can now. With this ability, you have the potential to come up with answers to even the most complex problems faster than ever before. Researchers behind the U.S. Department of Energy’s (DOE) Exascale Computing Project want to make this capability a reality, and are doing so by creating tools and technologies for exascale supercomputers – computing systems at least 50 times faster than those used today. These tools will advance researchers’ ability to analyze and visualize complex phenomena such as cancer and nuclear reactors, which will accelerate scientific discovery and innovation.

16
Jun
2017

The CI team behind Swift likes to call the philosophy behind the parallel scripting language "programming in the large." The idea is that Swift lives one order higher than a project's core family of applications, coordinating the data inputs and outputs and allocating tasks according to whatever resources are available.