Data & Computation
News
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.
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.
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.
Research
Researcher Spotlight
Robert Grossman
Research
Biomedical informatics, data intensive computing, big data, data science, cloud computing, and related areas.
