Data & Computation
News
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.
From its beginning, the Globus vision was to make research easier for scientists, taking on the burden of the annoying and tedious data tasks to make more time for the actual science. Gradually, the service has increased its toolbox from transfer and sharing to analysis and discovery, tapping the potential of the cloud to handle the tricky business of research data management. At Globusworld 2017, the spotlight was appropriately on “labs” -- both the internal working on new features and the external using Globus services to boost their science.
Research
Researcher Spotlight
Robert Grossman
Research
Biomedical informatics, data intensive computing, big data, data science, cloud computing, and related areas.
