The traditional scientific journal format has reached new limitations as science grows more data-intensive,and open data and global collaboration become more common drivers of research. Last week, CI research center Globus announced the trial launch of Globus data publication, a new service that makes it easier for researchers to describe, curate, preserve and discover data.


For over a century, the electrical grid has been a one-way street. A power company’s operations department estimates the demand for energy, instructs a power plant to produce enough electricity to meet demand, and distributes that power to residences and businesses. Except for incidents of severe weather and mechanical failure, this system is fairly reliable. But new advances in renewable energy, technology, and decentralized power have set the stage for the next generation: the smart grid.


The full potential of cloud computing to directly impact science, medicine, transportation, and other industries has yet to be realized. To help investigate and develop this promising cloud computing future, the Computation Institute (CI) at the University of Chicago and Argonne National Laboratory and the Texas Advanced Computing Center (TACC) at The University of Texas at Austin today announced that the new experimental testbed, called Chameleon, is in full production for researchers across the country.


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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.

The OpenAD/F project seeks to develop a modular, open-source tool for the automatic generation of adjoint code from Fortran 95 source code. Discrete adjoint computations are used for sensitivity analysis and to provide the gradients used in geophysical state estimation. Because derivatives are needed with respect to millions or billions of independent variables, finite different approximations are impractical: a gradient computation that would take minutes or hours using an adjoint computation would take months or years using finite differences.

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UC3 is an open computing framework for connecting users to shared Distributed High-Throughput Computing (DHTC) resources, both on- and off-campus.

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