​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.


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.


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.


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The Discovery Cloud is CI Director Ian Foster's vision to deliver powerful computational tools and methods to every professional and amateur scientist around the world, fundamentally transforming the ecosystem of science. Globus is the first step towards realizing this vision.

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The Globus Toolkit is open-source software for building grids. Its core services, interfaces, and protocols enable federation of distributed computing and storage resources spanning multiple security and administrative domains. With a Globus grid, users can access remote resources seamlessly and securely, while preserving local control.

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Globus Genomics provides flexible, scalable, and easy-to-use services for sequencing analysis. It combines state-of-the-art algorithms with sophisticated data management tools, a powerful graphical workflow environment, and a cloud-based elastic computing infrastructure, to address the challenges that researchers face when dealing with large scale NGS analysis.

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